Explorez tous les épisodes du podcast Financial Modeler's Corner
| Titre | Date | Durée | |
|---|---|---|---|
| Stop Letting AI Do All Your Thinking in Financial Modeling with Danielle Stein-Fairhurst | 13 Oct 2026 | 00:20:13 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst sits down with Danielle Stein Fairhurst to discuss how AI is reshaping financial modeling, what modelers need to do to stay relevant, and why strategic thinking matters more than ever. Danielle also shares practical lessons from training financial modelers, working with real-world client models, and preparing for the Advanced Financial Modeler (AFM) exam. Danielle Stein Fairhurst is the Principal Financial Modeling Specialist at Plum Solutions, a Microsoft Excel MVP, Master Financial Modeler with the Financial Modeling Institute, LinkedIn Learning instructor, and internationally recognized financial modeling trainer and speaker. She is also the author of Financial Modeling in Excel For Dummies and Using Excel for Business and Financial Modeling. Expect to Learn:
Here are a few relevant quotes from the episode:
Danielle explains that AI can save time and help modelers go deeper with analysis, but it shouldn't replace independent thinking. She also shares why simplicity matters in real-world models and why practice and speed are essential when preparing for the AFM exam. Follow Danielle: LinkedIn: https://www.linkedin.com/in/daniellesteinfairhurst Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today's Episode:[00:48] - Danielle's Background [01:41] - Modeling Journey [02:59] - Careers & AI [05:58] - AI & Financial Modeling [11:34] - AI in Everyday Work [13:31] - Real-World Models [17:20] - AFM Preparation [19:09] - Closing Thoughts | |||
| AI, Excel and the Changing Role of Financial Modelers with Danielle Stein Fairhurst | 06 Oct 2026 | 00:49:14 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst sits down with Danielle Stein Fairhurst to discuss how AI is changing financial modeling, why modelers need to keep learning, and how dynamic arrays are shaping the future of Excel. Danielle also shares her thoughts on model design, AFM exam preparation, and why strategic thinking still matters in an AI-driven world. Danielle Stein Fairhurst is the Principal Financial Modeling Specialist at Plum Solutions, a Microsoft Excel MVP, Master Financial Modeler with the Financial Modeling Institute, LinkedIn Learning instructor, and internationally recognized financial modeling trainer and speaker. She is also the author of Financial Modeling in Excel For Dummies and Using Excel for Business and Financial Modelling. Expect to Learn:
Here are a few relevant quotes from the episode:
Danielle explains that AI can now handle many technical tasks that once required significant modeling expertise. She believes modelers should embrace these tools while still relying on their own judgment, creativity, and strategic thinking. Follow Danielle: LinkedIn: https://www.linkedin.com/in/daniellesteinfairhurst Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW Disclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration that has undergone human editorial review. In Today's Episode:[00:00] - Trailer [05:19] - AI and the Future of Financial Modeling [08:30] - Financial Modeling Pet Peeves [10:21] - Updating Courses with AI [15:34] - Lessons From Danielle’s Pilgrimage [18:26] - AI Building Financial Models [27:30] - Training vs. Real-World Modeling [31:01] - Preparing for the AFM Exam [35:35] - Dynamic Arrays in Financial Modeling [40:24] - Lessons From Past Models [44:47] - Rapid Fire: Excel & Modeling [48:41] - Closing Thoughts | |||
| Poker, Probability, and Financial Modeling with Dan Mayoh | 29 Sep 2026 | 00:46:35 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst sits down with Dan Mayoh to discuss his career in financial modeling, lessons from model auditing, and why he sees Excel as one of the world’s most accessible programming languages. Dan also shares how mathematical modeling, poker, and probability have shaped his approach to risk and decision-making under uncertainty. Dan Mayoh is the Founder and CEO of Fintega Pty Ltd and a financial modeling and spreadsheet specialist with more than 15 years of experience. With a background in actuarial studies, Dan began his career in model auditing before moving into financial modeling and consulting. He also placed second in the inaugural ModelOff competition and was an early CFM holder with the Financial Modeling Institute. Expect to Learn:
Here are a few relevant quotes from the episode:
Dan explains that strong financial modeling goes beyond formulas and functions. Structure, navigation, error checks, usability, and designing around the end user all play an important role in creating models that are easier to understand, update, and trust. Follow Dan: LinkedIn: https://www.linkedin.com/in/dan-mayoh-255227/ Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW Disclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration that has undergone human editorial review. In Today's Episode:[00:00] - Trailer [03:40] - Dan’s Financial Modeling Journey [06:05] - Building a Career in Financial Modeling [12:14] - Modeling as Software Development [15:09] - Financial Modeling Horror Stories [19:19] - Lessons From Model Auditing [22:03] - Competing in ModelOff [27:39] - Mathematical Modeling of Games [32:04] - Modeling Risk in Real-World Projects [35:13] - Decision-Making Under Uncertainty [40:53] - Rapid Fire: Excel & Modeling [44:22] - Closing Thoughts | |||
| Financial Modeling, Deal Making, and the Skills Every Analyst Needs with Oren Klaff | 22 Sep 2026 | 00:20:38 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst sits down with Oren Klaff, Private Equity Fund Manager and bestselling author of Pitch Anything, to discuss how financial modeling can support deal-making, investment decisions, and career growth. Oren shares how modeling helped him move from financial analyst to dealmaker. Oren Klaff is a Private Equity Fund Manager and the author of Pitch Anything. He began his career as a financial analyst in private equity before moving into deal-making and capital raising. Financial modeling has remained central to how he evaluates businesses and structures deals. Expect to Learn:
Here are a few relevant quotes from the episode:
Oren explains that strong modelers do more than build spreadsheets. They identify the assumptions that drive outcomes, communicate insights clearly, and help decision-makers find practical ways to make deals work. Follow Oren: LinkedIn: https://www.linkedin.com/in/orenklaff/ Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW Disclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review. In Today's Episode:[04:00] - From Modeling to Deal-Making [06:08] - Creating Business Insight [08:38] - Finding Sensitive Assumptions [09:38] - How Analysts Build Trust [10:58] - Reviewing Models Without Creating Conflict [14:41] - Structuring Better Deals [18:23] - Real-World Deal Applications [20:13] - Closing Thoughts | |||
| Building AI for the Top 1% of Excel Users with Peter Fuller | 15 Sep 2026 | 00:50:12 | |
In this episode of Financial Modeler’s Corner, the Mod Squad, Ian Schnoor, Giles Male, and Paul Barnhurst, speak with Peter Fuller about AI-powered financial modeling and the rapidly changing future of Excel. Peter shares how Tracelight evolved from an AI-for-Excel tool into a broader AI workspace for professionals in finance and consulting. Peter Fuller is the Co-Founder and CEO of Tracelight, based in London, England. Before founding Tracelight in 2024, he was an early-stage venture capital investor at Entrepreneurs First and spent five years at McKinsey, including time with QuantumBlack, McKinsey’s AI practice. His background combines finance, consulting, venture capital, AI, and financial modeling. Expect to Learn
Here are a few quotes from the episode:
Peter explains why he sees AI as an opportunity for financial modelers rather than simply a threat. As AI becomes more capable, he expects modelers to move beyond manually building spreadsheets and toward creating models that become a persistent part of how businesses operate. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ Follow Peter: LinkedIn - https://www.linkedin.com/in/peter-fuller-/ Disclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review. In Today's Episode: [00:00] - Trailer & Introduction [03:40] - Building AI for Excel [07:14] - Competing With Big AI Labs [11:27] - Tracelight's Strategy [15:30] - Tracelight's Core Customers [16:23] - AI Harnesses & Orchestration [19:32] - The Future of AI Models [22:10] - Multi-Model AI Workflows [27:44] - Enterprise Growth & User Love [33:32] - The Tracelight Platform [43:03] - Excel, AI & The Future of Modeling [47:13] - The Future of Financial Modelers | |||
| Pitch Anything's Oren Klaff: From Spreadsheet to Deal Table | 08 Sep 2026 | 00:49:05 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst speaks with Oren Klaff about how financial modeling can become a powerful tool for deal-making, investment decisions, and career growth. Oren explains why modelers should focus on identifying key sensitivities, communicating insights effectively, and helping buyers and sellers find ways to make deals work rather than simply pointing out flaws. Oren Klaff is a Private Equity Fund Manager and the bestselling author of Pitch Anything. Based in Beverly Hills, California, he focuses on recruiting smart people to join his portfolio companies. Oren began his career as a financial analyst in private equity before moving into deal-making and capital raising. His experience in financial modeling has played a key role in his approach to deal-making and raising capital. Expect to Learn:
Here are a few relevant quotes from the episode:
Oren explains that the real value of a modeler goes beyond building technically complex spreadsheets. The best modelers help decision-makers understand what matters, communicate uncertainty, and find practical ways to move a deal forward. A strong model should also be simple enough for business users to operate and robust enough to withstand scrutiny. Join FMI’s Global Conference: Take your financial modeling skills to the next level with FMI’s Global Financial Modeling Conference. Experience 24 hours of learning, networking, and practical insights from leading experts across the finance community. Register today: https://fminstitute.com/conference/ Follow Oren: LinkedIn: https://www.linkedin.com/in/orenklaff/ Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW Disclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review. In Today's Episode: [00:00] - Trailer [05:20] - Finding Insight in the Numbers [07:28] - Moving From Analyst to Deal Maker [10:58] - Using Modeling Without Antagonizing the Other Side [15:26] - Price, Terms, and Making Deals Work [20:11] - Real-World Applications of Modeling in Deals [23:24] - Modeling Horror Stories & What Good Models Look Like [31:25] - Building Models That Help Raise Money [35:20] - Storytelling With Numbers [40:13] - Pitch Anything and the Role of Status [43:24] - Rapid Fire: Excel, AI, Sensitivity Analysis & More [44:53] - Final Advice for Advancing Your Modeling Career | |||
| Why AI Makes Financial Modeling Best Practices More Important with Marli van Staden-Basson | 01 Sep 2026 | 00:53:16 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst speaks with Marli van Staden-Basson about best-practice financial modeling, AI, model design, and the skills needed to build reliable models. Marli explains why transparency, usability, and risk management matter, and how AI makes strong modeling practices even more important. Marli van Staden-Basson is the founder and financial modeling specialist at Near Future Limited, with over 20 years of experience in corporate and infrastructure finance. She specializes in renewable energy and digital infrastructure modeling, including complex model development and independent model audits. Expect to Learn:
Here are a few relevant quotes from the episode:
AI can make modeling faster, but Marli explains why it does not replace good modeling practices. Clear design, purposeful structure, checks, and human judgement remain essential for creating models that are reliable and easy to review. Follow Marli: LinkedIn: https://www.linkedin.com/in/marli-van-staden-basson-7119ba28/ Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Disclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review. Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today's Episode: [00:00] - Trailer [03:29] - Building a Career in Financial Modeling [07:18] - Breaking the Modeler Stereotype [10:54] - Financial Modeling Horror Stories [18:49] - Starting a Financial Modeling Consultancy [24:28] - AI and Best-Practice Modeling [30:26] - Why Model Design Matters [37:07] - Tips for Building Better Models [41:23] - Worst Modeling Practices to Avoid [47:43] - Excel Rapid Fire [51:05] - AI and the Future of Modeling | |||
| What Separates an Excellent Financial Modeler From a Technically Good One with Diarmuid Early | 25 Aug 2026 | 00:49:31 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst speaks with Diarmuid Early about what separates great financial modelers from technically capable ones, the rise of AI in financial modeling, and why judgment remains essential. Diarmuid shares lessons from his career, his experience as a three-time World Financial Modeling Champion, and why understanding what a model actually means matters more than simply building it correctly. Diarmuid Early is the founder of Early Days Consulting, a data analytics and financial modeling consultancy. He previously worked at Boston Consulting Group and spent nearly a decade in Deutsche Bank’s Origination and Advisory division. He holds a PhD in computer science and is a three-time World Financial Modeling Champion, Excel MVP, and Master Financial Modeler Expect to Learn:
Here are a few relevant quotes from the episode:
AI will continue to take on more of the technical work involved in financial modeling, but speed alone does not make a model useful or reliable. Strong modelers will continue to stand out through their ability to develop credible assumptions, interpret results, exercise judgment, and understand the decisions a model is meant to support. Follow Diarmuid: LinkedIn: https://www.linkedin.com/in/diarmuidearly/ YouTube: https://www.youtube.com/@dimearly Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Disclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review. Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today's Episode: [00:00] - Trailer [03:31] - Diarmuid’s Journey Into Financial Modeling [06:00] - Financial Modeler Stereotypes [08:20] - Career Advice for Aspiring Modelers [12:46] - Financial Modeling Competitions [14:59] - Consulting, Coaching, and Career Evolution [18:25] - Meeting Microsoft CEO Satya Nadella [21:08] - AI and the Future of Financial Modeling [25:41] - Why AI-Generated Models Still Need Review [31:09] - Financial Modeling Standards and Best Practices [35:19] - Diarmuid’s Most Challenging Modeling Case [39:28] - Excel Shortcuts and Modeling Tools [41:38] - Rapid-Fire Modeling Questions [46:01] - Continuous Learning and Final Advice | |||
| Can Financial Modelers Trust AI to Build Reliable Models? with Ryan Humphrey | 18 Aug 2026 | 00:22:54 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst speaks with Ryan Humphrey about financial model auditing, the skills strong modelers need, and how AI is changing the profession. Ryan explains why communication, judgment, and independence matter alongside technical ability. He also shares how model audits work, why poorly structured models create risks, and how AI could shift financial modelers from building models toward reviewing and refining them. Ryan Humphrey is a Partner at Forvis Mazars in London, specializing in financial model audits, including accounting and tax reviews. A qualified chartered accountant, he contributed to How to Review a Spreadsheet and co-authored Credible Model Audit for the AI Era. He is also conducting research with Cambridge University in sustainability leadership and is an advocate for the energy transition. Expect to Learn:
Here are a few relevant quotes from the episode:
AI is becoming increasingly capable of understanding and building spreadsheets, but credible-looking outputs can still contain errors. As AI takes on more of the technical building process, financial modelers will need to focus even more on judgment, review, communication, and understanding what a model is designed to accomplish. Follow Ryan: LinkedIn: https://www.linkedin.com/in/rchumphrey/ Website: https://www.forvismazars.com/uk/en/users/our-team/ryan-humphrey Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today's Episode: [02:31] - Why Communication Matters in Financial Modeling [05:14] - Ryan’s Financial Model Audit Nightmare [08:29] - How Financial Model Audits Work [10:18] - What Model Auditors Actually Validate [12:50] - Essential Skills for Model Auditors [16:45] - How AI Is Changing Financial Model Audits [19:26] - The Risks of Credible-Looking AI Models [20:45] - Moving From Model Building to Model Reviewing [21:25] - Continuous Learning and Final Advice | |||
| AI Can Build the Model, But Can You Trust It? with Ryan Humphrey | 11 Aug 2026 | 00:49:55 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst speaks with Ryan Humphrey about financial model auditing, the skills strong modelers need, and how AI is changing the profession. Ryan explains why communication, judgment, and trust matter as much as technical ability. He also shares how model audits work, why poorly structured models create serious risks, and why finance professionals must continue developing their skills as AI takes on more of the building process. Ryan Humphrey is a Partner at Forvis Mazars in London, specializing in accounting, tax reviews, and financial model audits. A qualified chartered accountant, he co-authored Credible Model Audit for the AI Era and is currently researching sustainability leadership with Cambridge University. Expect to Learn:
Here are a few relevant quotes from the episode:
AI may make financial models faster to build, but it also makes careful review more important. The future belongs to professionals who can combine technical knowledge with judgement, communication, and trusted decision-making. Follow Ryan: LinkedIn: https://www.linkedin.com/in/rchumphrey/ Website: https://www.forvismazars.com/uk/en/users/our-team/ryan-humphrey Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Disclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review. Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today's Episode: [00:00] -Trailer [05:16] - Why Communication Matters [06:45] - AI and the Future of Modeling Careers [08:50] - Ryan’s Model Audit Nightmare [12:26] - How Financial Model Audits Work [17:36] - Essential Skills for Model Auditors [21:35] - How AI Is Changing Model Audits [27:54] - The Growing Importance of Trust [32:34] - Why Continuous Learning Matters [37:30] - Excel Preferences and Shortcuts [41:30] - Rapid-Fire Modeling Questions [47:35] - Final Advice for Financial Modelers | |||
| AI vs. Financial Modeling World Champion: Who Wins, and What Can We Learn from It | 04 Aug 2026 | 00:54:21 | |
In this episode of The ModSquad, Paul Barnhurst, Giles Male, and Ian Schnoor are joined by Excel and Financial Modeling World Champions Michael Jarman and Diarmuid Early to discuss a unique “man versus machine” financial modeling challenge. The group breaks down their experience testing AI against expert modelers using real financial modeling and Excel competition cases. They explore where AI performs well, where human judgment still matters, and what the future of financial modeling may look like as AI tools continue to improve. Expect to Learn
Here are a few quotes from the episode:
AI is changing the way financial models are built, reviewed, and improved. While AI can increase speed and efficiency, the best results still come from professionals who understand modeling principles, question outputs, and apply human judgement. The future belongs to modelers who can combine technology with expertise. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ Follow Michael Jarman: LinkedIn - https://www.linkedin.com/in/michael-jarman-excel/ Follow Diarmuid Early: LinkedIn - https://www.linkedin.com/in/diarmuidearly/In today’s episode: [00:00] – Trailer [03:59] – Setting Up the Competition [09:50] – AI Competition Commentary [13:02] – Shortcut vs Human Results [16:17] – AI Review Agents [20:11] – Trusting AI Models [29:41] – Future of AI Agents [33:13] – Human Oversight in AI [41:27] – Real-World Modeling Challenges [45:54] – Beyond AI Prompting [47:50] – Future of Financial Modeling [53:20] – Closing Thoughts | |||
| Can Competition Make You Better at Finance? with Eric Kelley | 28 Jul 2026 | 00:19:21 | |
In this episode of Financial Modelers Corner, host Paul Barnhurst welcomes Dr. Eric Kelley, Finance Professor | Microsoft MVP (Excel), and one of the leading educators in financial modeling. Eric shares how his passion for teaching, mathematics, and financial markets led him into academia, and why developing scalable financial models starts with understanding the business before opening Excel. Dr. Eric Kelley is a Professor of Finance at the University of Tennessee's Haslam College of Business, a Microsoft Excel MVP, and Faculty Fellow with the Microsoft Excel Collegiate Challenge (MECC). He coaches the University of Tennessee's Excel eSports team, which won the 2024 MECC World Championship, and is passionate about using financial modeling and Excel eSports to prepare students for finance careers. Expect to Learn:
Here are a few relevant quotes from the episode:
Eric Kelley shares why financial modelers need more than technical skills, highlighting the importance of communication, problem-solving, and building scalable models. He also discusses how Excel eSports and hands-on learning are helping students develop real-world modeling skills for future finance careers. Follow Eric:
Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today's Episode:[00:00] - Introduction & Dr. Eric Kelley[02:10] - Eric’s Finance Journey[03:17] - The Top Modeling Skill[04:40] - Understanding Your Model[05:33] - Common Modeling Mistakes[08:03] - Excel eSports Explained[10:31] - Performing Under Pressure[11:51] - Coaching Excel Champions[14:22] - Excel eSports in Modeling[17:13] - Teaching with FMI Cases[18:57] - The Future of Financial Modeling | |||
| The Human Financial Modeler: AI insights from 60+ global experts | 21 Jul 2026 | 00:47:08 | |
In this episode of Financial Modeler's Corner, host Paul Barnhurst is joined by Ian Schnoor, Executive Director of the Financial Modeling Institute. They discuss the future of financial modeling in the age of AI, with a focus on how modelers are using AI today, where human judgment still matters, and what governance, ethics, and skill development look like going forward. Expect to Learn:
Here are a few quotes from the episode:
Ian Schnoor shares why AI should enhance, not replace, human expertise in financial modeling, emphasizing judgment, governance, and strong foundational skills. He also offers practical career advice for aspiring modelers and highlights why mastering the fundamentals remains essential in an AI-driven future. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today’s Episode: [00:00] –Trailer [03:25] – Ian’s Modeling Journey [06:20] – Building Modeling Skills [09:59] – Global Leadership Council Report [14:40] – AI Use in Financial Modeling [21:31] – Human Judgment in Modeling [26:09] – Trust and AI Governance [30:11] – Ethics and the Future of Modeling [44:14] – Final Thoughts on Modeling Careers | |||
| Building Financial Modeling Skills While Playing an E-Sport Game with Professor Eric Kelley | 14 Jul 2026 | 00:45:39 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst sits down with Dr. Eric Kelley, finance professor, Microsoft Excel MVP, and financial modeling educator, to discuss how financial modeling education is evolving through Excel Esports and hands-on learning. Eric shares how he uses competitions, real-world cases, and structured modeling techniques to help students build stronger financial modeling skills, think in systems, and create models that support better decision-making. Dr. Eric Kelley is a finance professor at the University of Tennessee’s Haslam College of Business, where he teaches finance at the undergraduate, MBA, and PhD levels. He is a Microsoft Excel MVP and faculty fellow with the Microsoft Excel Collegiate Challenge. Eric focuses on developing integrated financial modeling education, helping students build scalable models through innovative techniques and competitive Excel-based learning. Expect to Learn:
Here are a few quotes from the episode:
Eric Kelley shares how financial modeling education can move beyond traditional instruction by combining technical skills, communication, and competitive problem-solving. Through Excel Esports and structured case-based learning, he helps students understand that strong models are not just about getting the right answer, but about building systems that can adapt, scale, and support decisions. Follow Eric: LinkedIn: https://www.linkedin.com/in/ekkell/ Youtube: https://www.youtube.com/@erickelley5900 Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today’s Episode: [00:00] – Trailer [04:33] – The Importance of Communication Skills [09:12] – Discovering Excel Esports [11:35] – Competing Under Pressure [13:01] – Coaching Future Financial Modelers [16:36] – Bringing Financial Modeling Into the Classroom [23:51] – Building Excel Esports Cases [32:00] – Students’ Biggest Modeling Breakthroughs [36:23] – Advice for Aspiring Modelers [38:10] – Excel Rapid Fire Questions [43:33] – Final Advice on Learning Financial Modeling | |||
| AI Financial Modeling Test for Finance Pros to Understand the Limitations Using Real Tool Comparison | 07 Jul 2026 | 00:38:41 | |
In this episode of The Mod Squad, Paul Barnhurst, Ian Schnoor, and Giles Male put today's leading AI tools to the test in a live financial modeling "bake-off." Using the same modeling case and prompts, they compare ChatGPT, Claude, and Copilot to see how well each tool builds a financial model. The discussion highlights the progress AI has made, where it still falls short, and why financial modeling expertise remains essential. Expect to Learn:
Here are a few quotes from the episode:
AI is powerful, but it is not a shortcut to quality work. It still needs guidance, structure, and strong fundamentals. The people who benefit most are those who understand both the tools and the work behind them. For now, the best approach is simple: test it, guide it, and never trust it blindly. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [00:00] – Trailer [03:30] – AI Fatigue & Keeping Up [05:48] – The Modeling Challenge [08:41] – ChatGPT Results [17:57] – Claude Results [27:33] – Copilot Results [30:36] – Human Review Still Matters [33:18] – How AI Has Improved [36:10] – Better Results with Custom Skills [37:08] – Final Verdict & Key Takeaways | |||
| Spatial Finance: How Satellite Data Is Enhancing Financial Models, with Jorge Rojas | 30 Jun 2026 | 00:47:46 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst sits down with Jorge Rojas, finance professor, consultant, and Advanced Financial Modeler, to explore how emerging technologies are reshaping financial modeling. Jorge shares insights from his latest research on spatial finance and Earth observation data, explaining how satellite imagery, AI, and alternative data sources are transforming forecasting, investment analysis, ESG reporting, and risk management. Jorge Rojas is a finance professor, consultant, CFA Charterholder, and Advanced Financial Modeler (AFM) with a PhD in Finance from Tulane University, where he also serves as an Adjunct Professor. He has taught finance across the United States, Europe, Asia, and Latin America, and is the author of several books on corporate finance, risk management, and financial modeling Expect to Learn:
Here are a few quotes from the episode:
Jorge Rojas shares practical insights on building stronger financial models by combining sound modeling principles with modern data sources and risk analysis techniques. Whether you're new to financial modeling or an experienced professional, this episode offers valuable lessons to help you make better-informed financial decisions. Follow Jorge: Linkedin: https://www.linkedin.com/in/jorgerojasphdcfa/ Company: https://orcid.org/0009-0002-4136-7995 Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today’s Episode: [00:00] – Trailer [03:08] – Financial Modeling Horror Story [04:35] – Why Jorge Enjoys Teaching [07:38] – CFA & AFM Certifications [12:18] – Introduction to Spatial Finance [17:01] – Satellite Data in Finance [25:41] – Monte Carlo Simulation [32:20] – Modeling Agricultural Risk [37:57] – Rapid Fire Questions [45:29] – Advice for Financial Modelers | |||
| AI in Financial Modeling: Better Than Ever, Still Not There, and the Fatigue Factor | 23 Jun 2026 | 01:06:45 | |
In this episode of The Mod Squad, Paul Barnhurst, Ian Schnoor, and Giles Male share their real experiences using AI in financial modeling. They discuss what works, what doesn’t, and how finance professionals can best use AI today. From testing different AI tools to running a “bake-off” on a real financial model, the conversation highlights the practical challenges, hallucinations, and creative approaches to working with AI in FP&A. Expect to Learn
Here are a few quotes from the episode:
AI is powerful, but it is not a shortcut to quality work. It still needs guidance, structure, and strong fundamentals. The people who benefit most are those who understand both the tools and the work behind them. For now, the best approach is simple: test it, guide it, and never trust it blindly. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [00:05] – Trailer [03:06] – AI Progress Update [05:00] – Mental Load & AI Pace [08:03] – Busting AI Hype [12:30] – Training & Business Demands [17:57] – AI “Eye of the Storm” [24:13] – Testing AI Models [30:52] – Fixing vs Building AI Models [35:15] – Challenging Misleading AI Claims [38:41] – Improving AI with Instructions [42:59] – Final Thoughts & Takeaways | |||
| The Language and Excel Problem Stopping AI from Fixing Financial Modeling with John Yeldham | 16 Jun 2026 | 00:18:57 | |
In this episode of Financial Modelers Corner, Paul Barnhurst talks with John Yeldham, founder of Lodeum, about building trust in Excel models, standardizing modeling language, and creating modular, scalable models. John shares his experience leading financial modelers and using advanced Excel features like Lambda functions and dynamic arrays. Expect to Learn:
Here are a few quotes from the episode:
John provides actionable strategies for financial modelers to improve clarity, scalability, and trust in their work while leveraging advanced Excel techniques and modular design principles. This episode is a must-listen for anyone looking to elevate their modeling skills and build reusable frameworks for complex financial analyses. Follow John: Company: https://www.linkedin.com/company/lodeum/ LinkedIn: https://www.linkedin.com/in/johnyeldham/ Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today’s Episode: [02:14] – Worst Model Horror Story [04:09] – Communication & Language Challenges [11:55] – Standardizing Language & AI Integration [14:43] – Online Training & Lodeum Platform [24:25] – Lambda Functions & Dynamic Arrays [39:42] – Rapid Fire Opinions [16:32] – Advice for Becoming a Better Modeler [18:07] – How to Connect | |||
| The Critical Role of Communication and Standard Definitions in Financial Modeling with John Yeldham | 09 Jun 2026 | 00:51:00 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst sits down with John Yeldham, a leading expert in financial modeling and founder of Lodeum, a global online financial modeling training platform. John shares his experience leading and training teams of financial modelers across corporate and project finance, and discusses the importance of standardizing language, modular model design, and building trust in complex Excel models. John Yeldham has 20 years of experience leading and training financial modeling teams in project and corporate finance, supporting deals and valuations for global funds, energy, and infrastructure, as well as smaller businesses. He created and refined modeling methodologies at BDO UK, Forvis Mazars, and for Lodeum, a global financial modeling training platform launching in 2026. Expect to Learn:
Here are a few quotes from the episode:
John provides actionable strategies for financial modelers to improve clarity, scalability, and trust in their work while leveraging advanced Excel techniques and modular design principles. This episode is a must-listen for anyone looking to elevate their modeling skills and build reusable frameworks for complex financial analyses. Follow John: Company: https://www.linkedin.com/company/lodeum/ LinkedIn: https://www.linkedin.com/in/johnyeldham/ Follow Financial Modeler's Corner: LinkedIn: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqW In Today’s Episode: [00:00] – Trailer [02:28] – Worst Model Horror Story [05:20] – Transition to Own Business & Lodeum [08:51] – Communication & Language Challenges in Modeling [16:03] – Standardizing Language & AI Integration [24:25] – Lambda Functions & Dynamic Arrays in Excel [30:19] – Online Modeling Training Advantages [36:43] – Favorite Excel Shortcuts [38:22] – Most Challenging or Fun Spreadsheet Created [39:42] – Rapid Fire: Modeling Opinions [47:16] – Advice for Becoming a Better Modeler [49:31] – How to Connect & Learn More | |||
| How Founders Mistake Models Only for Fundraising and What They Should Do With Ilyas Anis | 02 Jun 2026 | 00:44:37 | |
Paul Barnhurst speaks with Ilyas Anis, CFO and Chartered Financial Modeler, about using financial models to build stakeholder confidence, drive operational decisions, and tell a clear business story. Ilyas shares insights on integrating AI, avoiding common modeling pitfalls, and the importance of scenario analysis and three-statement models. Ilyas Anis is Finance Lead at Turning Point Brands Canada and Founder of IMnS Associates. He has 15+ years of experience in financial modeling, valuation, and governance across multiple industries. An FCA, CPA, AFM, and FMVA®, he is also a board advisor and AI enthusiast. Expect to Learn
Here are a few quotes from the episode:
Ilyas Anis highlights how financial models go beyond numbers to build trust, enable strategic decisions, and communicate a clear business story. He emphasizes the role of AI as a supportive tool, the importance of connecting finance with operations, and practical strategies for building models that deliver actionable insights for stakeholders. Follow Ilyas: Website: https://imnsassociates.com/ LinkedIn: https://www.linkedin.com/in/ilyasanis/ Follow Financial Modeler's Corner: LinkedIn Page: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and receive 15% off by using the special show code ‘Podcast” Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [00:00] – Trailer [02:35] – Early Career Horror Stories [04:28] – Storytelling in Models [09:52] – Fundraising vs Operational Models [12:39] – Connecting Finance & Operations [18:36] – Revenue Models as Foundation [25:29] – AI in Modeling [27:38] – Automating Dashboards [34:30] – Rapid-Fire Modeling Best Practices [42:03] – Final Advice | |||
| The Mistakes in Structure and Data Thinking That Break Models with Mark Proctor | 26 May 2026 | 00:50:00 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst (aka The FP&A Guy) is joined by guest Mark Proctor. Together, they discuss the intricacies of financial modeling and data analysis, with a focus on building efficient models and leveraging automation in Excel. Mark shares his deep expertise on why structure is key, how to automate tedious tasks, and how Excel continues to evolve to meet the demands of modern financial professionals. Mark Proctor is a seasoned financial professional with a background in accounting and finance, an Excel MVP, and the founder of Excel Off The Grid, a platform dedicated to improving efficiency and effectiveness in Excel. With decades of experience, Mark's insights are invaluable for anyone looking to optimize their use of Excel for financial modeling and beyond. He has helped countless professionals streamline their work through better data structure and automation techniques. Expect to Learn
Here are a few quotes from Mark Proctor:
As Excel continues to evolve with powerful features like dynamic arrays and advanced automation, the tools discussed in this episode are essential for anyone looking to keep pace with the future of financial modeling. Mark’s emphasis on mastering the basics and thinking structurally will help you work faster and more effectively. Follow Mark:
Follow Financial Modeler's Corner: LinkedIn Page: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and receive 15% off by using the special show code “Podcast” Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [00:00] - Trailer [01:54] - Financial Modeling Horror Stories [04:55] - Lessons from Bad Models [06:28] - Mark's Career Journey and Background [12:59] - Data Analysis vs. Financial Modeling [19:17] - Excel as a Data Analysis Tool: Key Innovations [22:55] - Automation in Excel and Practical Tips [33:59] - The Importance of Mastering Excel Basics [44:19] - Wrap-Up and Closing Remarks | |||
| AI in Investment Banking for Analysts to Adapt as Workflows Change but Jobs Remain – Matan | 19 May 2026 | 00:19:18 | |
Paul Barnhurst speaks with Matan Feldman, Founder and CEO of Wall Street Prep. Matan shares his insights from his career in investment banking and financial modeling, discussing how AI is transforming the investment banking landscape, its impact on financial modeling, and the future of financial modeling education. He reflects on his journey founding Wall Street Prep and the lessons he’s learned along the way. Matan Feldman is the Founder and CEO of Wall Street Prep, where he leads business development, course creation, and training programs for clients such as Morgan Stanley, J.P. Morgan, The Wharton School, and many others. Before founding Wall Street Prep, Matan worked at Chase Manhattan Bank and J.P. Morgan in investment banking and equity research. Expect to Learn:
Here are a few quotes from the episode:
Matan Feldman highlights how AI is revolutionizing investment banking and financial modeling, improving efficiency and allowing analysts to focus on higher-level tasks. While AI tools are reshaping workflows, Matan stresses that core financial modeling skills and human judgment remain essential in this evolving industry. Follow Matan: Website: https://www.wallstreetprep.com/ LinkedIn: https://www.linkedin.com/in/matanfeldman/ Follow Financial Modeler's Corner: LinkedIn Page: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and receive 15% off by using the special show code ‘Podcast” Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [05:55] – AI in Banking [07:00] – AI’s Banking Impact [10:00] – Future of Modeling [12:00] – Role of Modelers [14:00] – AI’s Opportunities [15:00] – AI in Advisory [17:00] – Banking’s Future with AI [19:00] – Analyst’s Future [20:00] – AI’s Effect on Banking [22:00] – AI and Careers | |||
| The Investment Banking Job Hasn't Changed Since 1990. AI Is Changing That with Wall Street Prep CEO Matan Feldman | 12 May 2026 | 00:47:24 | |
Paul Barnhurst speaks with Matan Feldman, Founder and CEO of Wall Street Prep. Matan shares insights from his career in investment banking and financial modeling, discussing the future of AI in the industry, its impact on investment banking roles, and how it will reshape financial modeling education. He also reflects on his journey founding Wall Street Prep and the lessons he's learned along the way. Matan Feldman is the Founder and CEO of Wall Street Prep, where he leads business development, course creation, and training programs for clients such as Morgan Stanley, J.P. Morgan, The Wharton School, and many others. Before founding Wall Street Prep, Matan worked at Chase Manhattan Bank and J.P.Morgan in investment banking and equity research. Expect to Learn
Here are a few quotes from the episode:
Matan Feldman shared valuable insights into the evolving role of AI in financial modeling and investment banking. He emphasized the growing importance of business judgment and foundational skills as AI tools continue to reshape the industry. Matan's journey from investment banking to founding Wall Street Prep highlights the ongoing need for both technical expertise and strategic thinking in financial modeling Follow Matan: Website: https://www.wallstreetprep.com/ LinkedIn: https://www.linkedin.com/in/matanfeldman/ Follow Financial Modeler's Corner: LinkedIn Page: https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and receive 15% off by using the special show code ‘Podcast” Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [00:00] – Introduction [02:27] – Matan’s Modeling Nightmare [05:07] – The Journey of Wall Street Prep [08:21] – AI in Investment Banking [14:06] – The Future of Modeling and Automation [22:16] – Opportunities and Concerns in AI [29:48] – AI’s Role in Teaching Financial Modeling [36:02] – Rapid Fire Questions | |||
| Financial Modeling for Analysts to Build Clear, Structured Models for Better Decisions with Shreya Bhatt | 05 May 2026 | 00:39:21 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst speaks with Shreya Bhatt about her journey in financial modeling and her experience working across infrastructure and project finance. Shreya shares real challenges she has faced, including rebuilding poorly structured models, and explains what makes a model reliable and easy to use. The conversation also covers modeling standards, practical use cases, and how financial models support real-world decisions. Shreya Bhatt is a Manager at CrossBoundary Group with over eight years of experience in financial modeling and infrastructure finance. She works on project finance, portfolio modeling, and investment analysis, supporting decision-making across sectors like renewable energy and infrastructure. Expect to Learn
Here are a few quotes from the episode:
Shreya explains that strong financial models are built with clarity, structure, and consistency. She highlights that while tools and technologies like AI can speed up parts of the process, the real value comes from understanding the business, making sound assumptions, and delivering insights that support decision-making. Follow Sherya: Gmail: shreyabhattofficial@gmail.com Linkedin: https://in.linkedin.com/in/-shreyabhatt- Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [00:00] – Introduction [02:48] – Worst Modeling Experience [05:44] – Role at CrossBoundary [07:35] – Favourite Model Types [11:14] – Portfolio & Solar Models [14:06] – FAST Certification Journey [16:15] – FAST vs SMART Standards [19:56] – Modeling Best Practices [23:36] – AI in Financial Modeling [28:52] – Career Lessons [33:04] – Rapid Fire Insights [36:56] – Final Advice | |||
| AI in Finance for Professionals Dealing with Errors, Overhype, and Constant Learning Pressure | 28 Apr 2026 | 00:48:07 | |
In this episode of The Mod Squad, Paul Barnhurst, Ian Schnoor, and Giles Male share their real experiences using AI in financial modelling. They cut through the hype and discuss what AI actually does well, where it still struggles, and how professionals should be thinking about using it today. From building models to handling workflows, the conversation highlights both the value and the limitations of AI tools in real work. Expect to Learn
Here are a few quotes from the episode:
AI is powerful, but it’s not a shortcut to good work. It still needs guidance, structure, and strong fundamentals. The people who benefit most will be the ones who understand both the tools and the work behind them. For now, the best approach is simple: use it, test it, and don’t trust it blindly. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [02:06] – Current thoughts on AI after recent progress [03:45] – Daily use of AI and time savings [05:00] – Mental fatigue and keeping up with AI changes [08:03] – Calling out AI hype and unrealistic claims [12:30] – AI training challenges and business demand [17:57] – “Eye of the storm” phase of AI development [24:13] – Testing AI-built financial models [30:52] – Why fixing AI models can take longer than building from scratch [35:15] – Responsibility to challenge misleading AI claims [38:41] – Using instructions to improve AI output [42:59] – Final thoughts on AI, stress, and the future | |||
| The Rise of Evergreen Funds for Retail Investors to Enter Private Markets with Rafael | 21 Apr 2026 | 00:21:38 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst is joined by Rafael Le Saux to explore the real-world challenges of financial modeling, valuation, and how the role is evolving with new tools like AI. They discuss why strong modeling fundamentals still matter, the risks of poorly structured models, and how professionals can improve their skills in a rapidly changing environment. Rafael Le Saux is a valuation and modeling expert with over 16 years of experience in financial advisory and alternative investments. He leads Valuation and Modeling Services at PwC Deals and Strategy Luxembourg, advising clients on complex valuation matters across multiple asset classes. He has held senior roles at Partners Group and worked across multiple global markets and is actively involved in industry education and research. Expect to Learn
Here are a few quotes from the episode:
Rafael explains that AI can help speed up work, but it cannot replace thinking. The real value comes from understanding the data and building models that others can trust and use. Follow Rafael: LinkedIn: https://www.linkedin.com/in/rafael-le-saux/ Website: https://www.pwc.lu/ Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [00:34] – Rafael Le Saux Background [03:04] – Modeling Horror Story [05:09] – Teaching Financial Modeling [07:15] – AI in Learning & Education [09:50] – Using AI in Daily Work [12:03] – Limits of AI in Analysis [11:53] – Automation vs Analysis [15:13] – Luxembourg as a Financial Hub [17:56] – Regulation & Valuation [20:31] – Advice for Financial Modelers | |||
| Evergreen Fund Growth and the NAV Valuation Challenges Financial Modelers Face with Rafael | 14 Apr 2026 | 00:45:38 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst sits down with Rafael Le Saux to talk about valuation, modeling, and how the field is changing. They dig into real challenges from working on complex models and what happens when things go wrong. The conversation also covers how private markets are evolving and why valuation is getting harder. It’s a practical look at how modeling connects to real decisions in today’s finance world. Rafael Le Saux is a valuation and modeling expert with over 16 years of experience in financial advisory and alternative investments. He leads Valuation and Modeling Services at PwC Luxembourg, working across multiple asset classes. He has also worked at Partners Group and across global markets, including France, Australia, and Chile. Alongside his professional work, he teaches, speaks at industry events, and supports the valuation community. Expect to Learn
Here are a few quotes from the episode:
Valuation and modeling are becoming more demanding as markets continue to change. Better tools make the work faster, but they don’t replace the need for clear thinking and solid structure. The people who focus on understanding the “why” behind the numbers, not just the output, will be the ones who stand out. Follow Rafael: LinkedIn: https://www.linkedin.com/in/rafael-le-saux/ Website: https://www.pwc.lu/ Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [04:25] – Modeling Horror Story [06:36] – Teaching Modeling [09:11] – AI in Education [11:21] – AI in Daily Work [16:45] – Luxembourg as a Financial Hub [19:48] – Regulation & Valuation [22:55] – Retail Investors & Private Markets [26:59] – Valuation Frequency [30:10] – Auditors vs Investment Teams [33:30] – Excel Tips [35:20] – World Cup Model [37:30] – Rapid Fire [44:00] – Final Advice | |||
| What Every Finance Student Should Learn Before Graduating with Riley Edwards | 07 Apr 2026 | 00:31:20 | |
In this episode of Financial Modeler’s Corner, Paul Barnhurst sits down with Riley Edwards to discuss what it’s like starting out in financial modeling and how those skills carry into real-world financial planning. The conversation covers early mistakes, learning experiences, and the importance of presenting financial information clearly. Riley shares his journey from studying finance to working in wealth management, along with how financial modeling helped him build confidence, improve communication, and handle client conversations more effectively. Riley Edwards is a Financial Planning professional at IG Private Wealth Management, working with Fox-Revett Heslegrave & Associates. He is an Adrian College alumnus and is currently building his career in the financial planning industry. Based in Schomberg, Ontario, Canada, he focuses on helping clients understand their finances and make better decisions through clear analysis. Expect to Learn
Here are a few quotes from the episode:
Financial modeling is not just about spreadsheets. It’s about turning numbers into something people can understand and use. As Riley explains, the real value comes from how you present and communicate that information, especially when the conversation is not easy. Follow Riley: LinkedIn: https://www.linkedin.com/in/rileyedwards0405/ Company’s Website: https://www.foxrevettassociates.com Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [02:57] – First Modeling Mistake [05:07] – Getting Started in Financial Modeling [07:29] – Learning Experience & Education [10:04] – Most Rewarding Part of Modeling [12:23] – Importance of Presentation Skills [13:37] – Challenges in Learning Modeling [15:29] – Current Role in Wealth Management [17:38] – Personal Motivation & Background [19:00] – Using Modeling in Client Work [21:18] – AI in Learning & Modeling [25:18] – Excel Tips & Shortcuts [27:28] – Rapid Fire Round | |||
| Excel Will Never Be the Same Again after AI Copilot with Brian Jones | 31 Mar 2026 | 00:17:11 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst sits down with Brian Jones to explore how Excel is evolving in the era of AI and large language models. They discuss how Copilot, agent mode, and AI-driven capabilities are transforming the way users build, analyse, and improve spreadsheets. Brian shares insights into how Excel is becoming more like a developer tool and how AI can automate repetitive tasks while enhancing productivity for both beginners and advanced users. Brian Jones is the Vice President of Microsoft Excel, Forms, and Office Platforms. He has been with Microsoft since 1999, working across multiple productivity products, including Word, Office Forms, and developer extensibility tools. In his current role, Brian leads a global team responsible for Excel and related platforms, driving innovation and integrating AI capabilities like Copilot and agent mode into the product ecosystem. Expect to Learn
Here are a few quotes from the episode:
Excel is evolving into a more intelligent and interactive platform where AI acts as a powerful assistant rather than a replacement. From fixing broken references to building dashboards and automating workflows, tools like Copilot and agent mode are helping users work faster and smarter Follow Brian: LinkedIn: https://www.linkedin.com/in/brijones/ Website: https://learn.microsoft.com/en-us/archive/blogs/brian_jones/ Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn - https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [00:51] – Introducing Brian Jones [02:50] – Returning to the Excel Team [04:05] – AI & the Future of Excel [06:38] – Customer Questions About Copilot [10:22] – Agent Mode Explained [11:41] – Modeling the community about the Excel agent [13:14] – AI Models & Output Differences [17:16] – Final Thoughts | |||
| AI Builds Obsession for Financial Modelers to Refocus on Specification Testing and Trust Now | 24 Mar 2026 | 00:43:03 | |
In this episode of The ModSquad, Ian Bennett, Partner at PwC, joins Paul Barnhurst, Giles Male, and Ian Schnoor to discuss the rapid changes happening in financial modeling with the rise of AI. The team explores how AI tools like Claude are revolutionizing the industry, the critical role of strong modeling skills, and the ongoing importance of trust in financial modeling. They also touch on the future of Excel in the age of AI and how professionals can adapt to stay ahead in this rapidly changing landscape. Ian Bennett is a Partner at PwC, leading Deals Modeling in Australia and globally. With over 25 years of experience, Ian has built and reviewed complex models for transactions, infrastructure, finance transformations, and BAU forecasting across Australia and the UK. Ian is a founding member of the Financial Modeling Institute's (FMI) Advisory Council and a member of FMI's Financial Modeling Global Leaders Council. He is also the lead author of PwC’s Global Financial Modeling Guidelines. Expect to Learn
Here are a few quotes from the episode:
Claude and other AI tools are significantly enhancing the way financial modeling is done, but as Ian Bennett highlights, trust and deep foundational knowledge remain critical. The future of financial modeling isn’t about AI replacing human modelers; it’s about how professionals can use AI to work smarter, faster, and more accurately. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ Follow Ian Bennett: LinkedIn - https://www.linkedin.com/in/ianrbennett/ Website - https://www.pwc.com.au/deals/modelling.html In today’s episode: [02:10] – Introducing Ian Bennett [07:00] – Testing Claude in Excel [10:10] – Focusing Beyond the Build Phase [14:00] – How AI is Enhancing Modeling Phases [17:30] – The Importance of Reviewing AI-Generated Models [19:45] – Trusting AI: Augmentation vs. Replacement [25:00] – Rethinking the Role of Financial Modelers [30:00] – The Future of Excel and AI Agent Mode [33:00] – Reinventing the Financial Modeling Profession [36:00] – The Future of Excel in the AI Era [39:30] – Final Thoughts | |||
| How Microsoft is Making Excel an AI-Powered Platform with Product Manager Brian Jones | 17 Mar 2026 | 00:43:18 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst sits down with Brian Jones, Vice-President: Microsoft Excel, Forms, Office Platforms, to discuss how Excel is evolving in the era of AI and large language models. They explore how Copilot, agent mode, and AI-driven features are reshaping how professionals build, analyse, and improve spreadsheets. Brian also shares insights into how AI can assist financial modelers, automate tedious spreadsheet tasks, and help users understand complex workbooks faster. Brian Jones is the Vice-President: Microsoft Excel, Forms. He has worked at Microsoft since 1999 across several productivity platforms, including Word, Office Forms, and developer extensibility tools. In his current role, Brian leads the Excel product team as they integrate AI capabilities like Copilot and agent mode to expand what users can accomplish inside spreadsheets. Expect to Learn
Here are a few quotes from the episode:
Brian explains how AI is transforming Excel from a traditional spreadsheet tool into a more collaborative environment where users can interact with their data through conversation. Copilot can analyse spreadsheets, suggest formulas, correct errors, and even rebuild broken references automatically. Follow Brian: LinkedIn: https://www.linkedin.com/in/brijones/ Website: https://learn.microsoft.com/en-us/archive/blogs/brian_jones/ Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [02:53] – Brian’s Background at Microsoft [03:09] – Returning to the Excel Team [04:24] – The Rise of AI and LLMs in Excel [07:08] – Customer Questions About Copilot [10:39] – AI Rollouts and Product Updates [12:03] – How modelers Are Using Excel AI [17:52] – What Skill Sheets Are and Why They Matter [23:07] – Power Query and Excel Programming Languages [30:51] – Do We Still Need to Learn Formulas [36:07] – Getting the Most Out of Copilot [38:40] – Favorite Excel Shortcut and Functions [41:31] – Where to Follow Brian | |||
| Tips For Aligning the Forecasting Process between Finance and Operations with Amber Johnson | 10 Mar 2026 | 00:46:51 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst sits down with Amber Johnson to discuss forecasting, financial modeling, and how operational decisions impact financial outcomes. They explore the connection between logistics forecasting and financial forecasting, the importance of tracking forecast accuracy and bias, and how small operational issues can create large financial impacts. Amber also shares lessons from her experience working with data, forecasting demand, and helping businesses improve their systems and decision-making. Amber Johnson is a fractional industrial engineer and the founder of Peachy Profitability, where she helps teams work smarter through process improvement, data storytelling, and automation. She began her career as a “beer psychic,” forecasting demand at Anheuser-Busch, and has since built logistics networks, optimized warehouse flows, and guided businesses through transformational change. Amber is also the creator of Office Hours with Amber, a weekly livestream that encourages continuous improvement with curiosity and confidence. Expect to Learn
Here are a few quotes from the episode:
Amber Johnson shared practical insights on forecasting, operational drivers, and financial modeling. She highlighted how understanding logistics and operational data can improve financial decisions and help businesses plan more effectively. Follow Amber: LinkedIn: https://www.linkedin.com/in/ambernjohnsonwmu/ Website: https://peachyprofitability.com/ Follow Financial Modeler's Corner: LinkedIn Page - https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn - https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [02:23] – Amber’s Background [08:21] – Founding Peachy Profitability [10:38] – Learning Excel and Forecasting [15:37] – Logistics vs Financial Forecasting [18:59] – Forecast Accuracy and Bias [23:59] – Finance vs Logistics Perspectives [31:41] – Aligning Teams Around Goals [36:07] – Favourite Excel Shortcuts [37:46] – Rapid Fire: modeling Opinions [44:39] – Where to Find Amber | |||
| Why Structure and Design are Critical Elements of Trust and Credibility in Financial Modeling with Nick Boberg | 03 Mar 2026 | 00:43:44 | |
In this episode of Financial Modeler's Corner, host Paul Barnhurst chats with Nick Boberg, a financial modeler and consultant based in Hamilton, New Zealand. Paul and Nick explore the essentials of building well-structured, effective financial models. They discuss Nick’s approach to simplicity and consistency, the importance of clarity in model design, and the role of competition in refining one’s Excel and modeling skills. Nick is a financial modeler and the co-founder of Boberg Advisory, a consultancy that specializes in providing financial modeling services to SMEs. With extensive experience as Finance Director at Anglesea Hospital and Associate Director at PwC, Nick has built and reviewed hundreds of models, many focused on cash flow forecasting, budgeting, and management reporting. He is also an accomplished competitor in the Financial Modeling World Cup and the Microsoft Excel World Championships, where he has achieved finalist and semifinalist placements. Expect to Learn
Here are a few quotes from the episode:
Nick shares that the core of building great financial models lies in structure and simplicity. He emphasizes the importance of creating models that are not only accurate but also easy to follow and understand. Whether in competition or in client work, Nick highlights that clear, well-structured models make a real difference in their effectiveness and usability. Follow Nick: LinkedIn: https://www.linkedin.com/in/nickboberg/ Company: https://www.linkedin.com/company/boberg-advisory/ Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [03:30] – Worst Modeling Experience [08:08] – Running Boberg Advisory [12:11] – Competing in Excel Championships [17:42] – Importance of Structure [20:00] – Risks of Complex Formulas [23:20] – Avoiding Hard Codes [27:13] – Building "Pretty" Models [30:10] – Dynamic Arrays in modeling [36:05] – Rapid fire Section [40:54] – Last Question & Wrap up | |||
| We Tested Claude Opus 4.6 and the Results were Super Impressive | 24 Feb 2026 | 00:59:37 | |
In this episode of The ModSquad, Paul Barnhurst, Ian Schnoor, and Giles Male put Claude 4.6 to the test on real financial modeling accreditation cases. From three-statement forecasts to complex debt sculpting scenarios, the team examines just how far AI tools have come. The results are impressive, but not flawless. The discussion explores what this leap forward means for finance professionals and whether modeling is truly entering a new AI-assisted era. Ian Schnoor is Executive Director of the Financial Modeling Institute (FMI), the global accreditation body for financial modeling professionals. He brings extensive experience in modeling, training, and industry standards. Giles Male is Co-Founder of Full Stack Modeller and a two-time Microsoft MVP. He specializes in Excel, financial modeling systems, and practical AI implementation. Expect to Learn
Here are a few quotes from the episode:
Claude 4.6 marks a significant step forward in AI-assisted financial modeling, handling complex builds faster than ever before. However, subtle errors still highlight the need for strong technical knowledge and human oversight. The future of modeling isn’t replacement, it’s skilled professionals using AI to work smarter and deliver greater value. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles Male: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [04:06] – Testing Claude [11:14] – Augmentation vs. Automation in Modeling [18:14] – The Value of Documentation in Modeling [28:43] – Debt Modeling with AI [33:20] – Transition from Manual to AI-Enhanced Modeling [38:16] – Testing with New Tools [41:24] – Debt and Equity Modeling with AI [46:45] – Claude's Progress & Areas for Improvement [57:33] – Final Thoughts | |||
| AI in Finance for Modelers to Succeed by Mastering the Fundamentals with Chris Reilly | 17 Feb 2026 | 00:16:09 | |
In this episode of Financial Modeler's Corner, host Paul Barnhurst is joined by Chris Reilly, founder of Financial Modeling Education, for an insightful discussion on the importance of mastering financial modeling fundamentals in the age of AI. Chris shares his perspective on how AI is transforming the modeling industry, why understanding the basics is more important than ever, and how dynamic arrays are changing the modeling landscape. Chris Reilly is a financial modeling expert with over 91,000 students trained globally. He has a diverse background, having worked in private equity and FP&A, and has developed a range of training programs through Wall Street Prep, Wharton, LinkedIn Learning, and his own courses. Chris emphasizes that strong foundational knowledge in finance and accounting is crucial to leveraging AI and new technologies effectively. Expect to Learn
Here are a few quotes from the episode:
Chris highlights how AI can help with dynamic arrays and improve model efficiency, but stresses that it should never replace the need for a strong understanding of financial fundamentals. His focus is on helping modelers leverage the right technology without bypassing essential knowledge. Follow Chris: LinkedIn: https://www.linkedin.com/in/chris-reilly-mission-capital/ Homepage: https://www.financialmodelingeducation.com/ Email list: https://financialmodelingeducator.com/ Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [02:06] - Why Fundamentals Matter in AI Modeling [03:29] - Chris's Focus on Education & Clients [04:44] - How AI Amplifies Strengths & Weaknesses [05:39] - Dynamic Arrays: Excel's Game-Changer [07:09] - Should Dynamic Arrays Be Taught? [09:47] - Combining Functions for Efficient Models [12:01] - Struggles with New Excel Features [13:18] - Technical vs. Business-Focused Models [14:59] - The Joy of Mastering Balanced Models [15:44] - Closing & Chris' Educational Resources | |||
| Financial Modelers Must Master the Fundamentals Before Trusting AI with Chris Reilly | 10 Feb 2026 | 00:39:47 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst welcomes back Chris Reilly for a deep and practical conversation on financial modeling fundamentals in the age of AI. Chris shares why mastering the basics still matters more than ever, how AI is changing modeling workflows in reality (not hype), and where automation genuinely adds value versus where human judgment is still essential. Chris Reilly is a former private equity professional and financial modeling expert with experience spanning restructuring, FP&A, treasury, and middle market private equity. He began his career at FTI Consulting during the financial crisis, working on major bankruptcies, including Lehman Brothers, before moving to Hilton Worldwide and later into private equity. Chris is the founder of Financial Modeling Education, where he has trained more than 90,000 professionals worldwide, teaching real-life models used to acquire and manage private equity-backed businesses. Expect to Learn
Here are a few quotes from the episode:
Chris emphasizes that while AI and automation can improve efficiency, they do not replace the need for strong accounting knowledge, modeling fundamentals, and business understanding. He explains that the best modelers focus less on tools and functions and more on clarity, reliability, and helping decision makers understand what to do next. Follow Chris: LinkedIn: https://www.linkedin.com/in/chris-reilly-mission-capital/ Homepage: https://www.financialmodelingeducation.com/ Email list: https://financialmodelingeducator.com/ Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [02:35] - Fundamentals Before AI [05:55] - From PE to Teaching [09:17] - Dynamic Arrays in Practice [13:25] - Limits of Dynamic Models [18:09] - Modeling vs Technical Debate [21:04] - AI Hype vs Reality [26:45] - Avoiding Bad Models [33:00] - Advice for Modelers [35:38] - Future of AI in Excel [38:02] - Closing Thoughts | |||
| The Excel Techniques for Modelers to Build Real World-Business Forecasts - Luke Phillips | 03 Feb 2026 | 00:43:33 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst sits down with Luke Phillips, Senior Business Analyst at Access Analytic. Luke shares how he transitioned from Division I basketball to financial modeling, and how he helps clients solve complex budgeting and reporting problems using Solver, Excel, and Power BI. Luke Phillips is a chartered financial modeler and the Senior Business Analyst at Access Analytic. He works with clients across mining, oil and gas, manufacturing, and professional services to streamline budgeting and reporting through Solver and Excel. Luke holds a BBA in Finance from the University of Louisiana at Monroe, where he also played Division I basketball. Expect to Learn
Here are a few quotes from the episode:
Luke Phillips brings a grounded, real-world perspective to financial modeling, shaped by both professional experience and athletic discipline. His approach blends technical skill with a clear focus on communication and usability. Whether solving client challenges with Solver or exploring new Excel features, Luke keeps modeling practical and purpose-driven. Follow Luke: LinkedIn: https://www.linkedin.com/in/luke-phillips-75859013a/ Company: https://www.linkedin.com/company/access-analytic/ Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [02:09] - Life in Australia & Background [03:16] - First Model Mistake & Lesson [04:46] - From Basketball to Finance [08:49] - What is Solver & Luke’s Role [10:33] - Learning Supply Chain & Ops [13:11] - Simplicity vs. Complexity [18:24] - AFM & CFM Exam Journey [22:46] - XLOOKUP Over INDEX MATCH [27:46] - AI in modeling & Challenges | |||
| The Storytelling Techniques for Financial Modelers to Impress Investors with Karishma Karishma Ramnawaj | 27 Jan 2026 | 00:35:05 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst sits down with Karishma Ramnawaj, a financial modeler based in Mauritius, to talk about her journey in financial modelling, building and reviewing models, and the lessons she’s learned from both success and failure. Karishma shares her experience of learning on the job, why understanding the end user is critical, and how she balances practical standards with flexibility. Karishma is a Certified Advanced Financial Modeler (AFM) and FMVA® professional, currently working as a Financial Modeler Associate at Hawkins Eberdal Ltd in Mauritius. With a strong foundation in both project and corporate finance, Karishma specializes in building decision-ready financial models that support capital raising, risk evaluation, and business growth. Expect to Learn
Here are a few quotes from the episode:
Karishma's story is a great example of growth through practice, persistence, and passion for financial modeling. Her focus on clarity, flexibility, and end-user needs brings valuable perspective to the modelling process. From overcoming early challenges to passing the AFM exam, she shows the importance of continuous improvement. Follow Karishma: LinkedIn: https://www.linkedin.com/in/karishma-ramnawaj/ Follow Financial Modeler's Corner: LinkedIn Page- https://www.linkedin.com/company/financial-modeler-s-corner/ Newsletter - Subscribe on LinkedIn -https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7079020077076905984 Sign up for the Advanced Financial Modeler Accreditation Today and receive 15% off by using the special show code ‘Podcast’. Visit https://bit.ly/497oAqW and use the code “Podcast” to save 15% when you register. In today’s episode: [01:56] - Guest Intro [04:51] - Journey into Modelling [06:00] - Why She Loves Modelling [08:37] - Storytelling with Numbers [10:56] - Key Assumptions & End Users [13:00] - Project vs. Corporate Finance [14:26] - Renewable Energy Focus [15:44] - Modelling Standards & Reviews [22:16] - AFM Exam: Fail to Pass [29:18] - Tools, Tips & Final Advice | |||
| How Excel AI Agents Actually Work for Financial Modelers to Understand LLMs & Tools with Tim Jacks | 20 Jan 2026 | 00:43:01 | |
In this episode of The ModSquad, hosts Paul Barnhurst, Ian Schnoor, and Giles Male welcome Tim Jacks, founder of Taglo, for an insightful discussion on the integration of AI in financial modeling. Tim’s expertise bridges the worlds of financial modeling and AI, and in this episode, he shares his journey and discusses how AI is reshaping the financial modeling landscape. Tim Jacks is the founder of Taglo, a company dedicated to improving financial modeling with AI technology. His career journey spans financial consulting and software development, including building financial modeling tools. Over time, Tim's interest in artificial intelligence grew, and he delved into how AI, particularly Large Language Models (LLMs), could be used to enhance financial modeling processes. Expect to Learn
Here are a few quotes from the episode:
Tim Jacks provided valuable insights into the integration of AI in financial modeling, particularly how LLMs and agents are transforming workflows. While AI can significantly enhance efficiency, human expertise remains essential for applying financial modeling principles. Understanding the technical workings of these tools helps users leverage them effectively. The future of financial modeling will be human-led, AI-assisted. Follow Tim: LinkedIn: https://www.linkedin.com/in/timjacks/ Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles Male: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [00:05] - Intro & Hosts [01:33] - Guest Introduction: Tim Jacks [02:42] - Tim's Background in Modelling & AI [04:16] - What Are LLMs Really? [09:55] - ChatGPT vs. LLMs Explained [12:09] - LLMs Have No Memory [15:02] - How Tools Add Context to AI [19:35] - What Is an AI Agent? [22:35] - How Excel Agents Work [30:08] - Demo: Tools in Action [35:03] - Defining an Agent: LLM + Tools + Prompts [38:49] - Key Takeaway for Modellers | |||
| Financial Modeling for Corporate Finance Teams to Unlock Business Without Templates - Carolina Lago | 13 Jan 2026 | 00:42:53 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst welcomes Carolina Lago, a seasoned FP&A professional, to discuss how financial modelers can transform data into actionable insights while avoiding common modeling pitfalls. Together, they explore best practices in financial modeling, the dangers of hard-coded models, and why structure, flexibility, and clear purpose are essential for effective decision-making. Carolina also shares lessons from her international career, including her experience supporting a major IPO and leading global software implementations. Carolina Lago is an FP&A professional with over 15 years of international experience across multiple industries. She has played key roles in high-impact projects, including IPO preparation and enterprise-wide financial system implementations. Carolina is also the creator of the TACTIC framework, which helps financial professionals build models that are structured, insightful, and decision-focused. Expect to Learn
Here are a few quotes from the episode:
Follow Carolina: LinkedIn – https://www.linkedin.com/in/s-carolinalago/ Website – https://www.tacticfinancial.com In today’s episode: [00:00] - Trailer [00:50] - Guest Introduction [01:00] - Horrifying Financial Models [02:00] - Early Career Modeling Mistakes [03:10] - Carolina’s Global Career Journey [05:00] - Turning Data into Actionable Insights [07:30] - Introduction to the TACTIC Framework [09:50] - Learning Resources & Community Engagement [20:00] - Certifications and Continuing Education [22:40] - Rapid-Fire Round [24:50] - Advice for Aspiring Financial Modelers [26:00] - How to Connect and Learn More | |||
| What 2025 Taught Us About Excel AI and Where Financial Modeling Is Heading in 2026 | 06 Jan 2026 | 00:21:40 | |
In this special episode of Financial Modeler’s Corner, host Paul Barnhurst recaps an exciting 2025 and outlines what's ahead for 2026. Paul reflects on the top five most downloaded episodes of the year, shares insights from key guests, and highlights major developments in financial modeling, including Excel's newest features and the growing role of AI. Expect to Learn
Here are a few quotes from the episode:
In today’s episode: [02:01] – Mod Squad Launch [03:02] – AI and Modeling [03:45] – Excel Feature Highlights [06:28] – Excel Championship Recap [10:12] – AI in Financial Modeling [12:54] – Time-Saving Modeling Tips [16:02] – Three-Statement Modeling [17:38] – Strategic Thinking for Modelers [20:30] – Final Thoughts and Certification Offer | |||
| How Curiosity and Listening Help Financial Modelers Build Trusted Models with Ian Bennett | 30 Dec 2025 | 00:48:42 | |
In this episode of Financial Modeler’s Corner, host Paul Barnhurst welcomes Ian Bennett, Partner and Deals Modelling Leader at PwC Australia, to discuss the art and science of financial modeling. Together, they explore what makes a good financial modeler, how Excel has evolved dramatically in recent years, and how emerging tools and AI are shaping the future of modeling. Ian reflects on his decades-long career, from his early days discovering Excel during audits to leading a large team of modelers across Australia and India.
Ian Bennett is the Deals Modelling Partner at PwC Australia and a Master Financial Modeler (MFM) certified by the Financial Modeling Institute. With 24 years of hands-on experience in building and leading modeling teams, Ian’s approach combines deep technical expertise with a strong focus on communication, design, and problem-solving. He leads a 50-person modeling team at PwC and is known for his passionate advocacy for best practices, new tools, and innovation in modeling, including integrating AI and the latest features in Excel. Expect to Learn
Here are a few quotes from the episode:
Follow Ian: LinkedIn - https://www.linkedin.com/in/ianrbennett/ Website - https://www.pwc.com.au/deals/modelling.html In today’s episode: [00:00] - Trailer [01:09] - Introduction to Ian Bennett [02:13] - Worst Model Ian Has Seen [06:17] - Ian’s Background & Early Interest in Excel [08:19] - Becoming a Master Financial Modeller (MFM) [09:43] - Global Excel Summit Highlights [11:53] - What Makes a Great Financial Modeller [16:38] - Importance of Listening & Understanding Client Needs [23:03] - Time Allocation: Design vs. Building in Excel [28:14] - Modelling Tools Beyond Excel [31:34] - Excel’s Evolution & Exciting New Features [39:08] - Rapid Fire Questions [41:50] - Will AI Build Financial Models? [47:12] - Final Advice for Aspiring Modellers | |||
| We Tested 7 AI Tools in Excel for Financial Modeling, and None Could Build a Reliable Model | 23 Dec 2025 | 00:51:11 | |
In this episode of The ModSquad, hosts Paul Barnhurst, Ian Schnoor, and Giles Male are joined by Tea Kuseva, Community Manager at the Financial Modeling Institute, for a detailed discussion on the state of AI tools in financial modeling. The group continues its hands-on testing of seven tools, including TabAI, Excel Agent, Shortcut, and TrufflePig, evaluating how these platforms perform on real-world financial modeling tasks Tea Kuseva is the Community Manager at the Financial Modeling Institute (FMI), the only global accreditation body dedicated to financial modeling. With her deep involvement in the modeling community and her role supporting professionals worldwide, Tea Kuseva brings thoughtful questions and provides structure to the discussion, helping translate technical insights into practical takeaways for finance professionals. Expect to Learn
Here are a few quotes from the episode:
AI tools show promise in assisting with financial modeling, but they are not yet reliable enough to replace human expertise. Strong Excel skills and sound judgment remain essential. Used wisely, AI can enhance productivity, but it should complement, not replace, technical understanding. The future of modeling is human-led, AI-assisted. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/?originalSubdomain=ca Follow Giles Male: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ Follow Tea: LinkedIn: https://www.linkedin.com/in/tkuseva/ In today’s episode: [01:16] - Guest Intro [06:07] - Tools Under the Microscope [07:59] - The Testing Framework [13:43] - Lessons from the Esports Challenges [19:33] - Real Examples from the Tools [25:54] - Practical Use Cases for AI Today [33:56] - Variability in AI Outputs [39:40] - Looking Ahead: The Next Five Years [44:58] - Final Comments [46:13] - Final Thoughts and Key Takeaways | |||
| What Happens When the AI Tools Fail Basic Math and More with Ian and Giles | 16 Dec 2025 | 00:35:26 | |
In this episode of The Mod Squad, hosts Paul Barnhurst, Ian Schnoor, and Giles Male continue their hands-on testing of AI tools for financial modeling. This time, they put Subset, an AI-powered spreadsheet tool still in beta, through its paces. The hosts explore whether Subset can realistically handle core financial modeling tasks, including importing Excel files, building three-statement models, and applying basic accounting logic. Along the way, they uncover significant limitations, bugs, and logical errors that highlight the risks of relying on unsupported or immature tools. Expect to Learn
Here are a few quotes from the episode:
Subset shows ambition in trying to act as a full AI spreadsheet, but the testing reveals serious issues, from incorrect formulas to flawed financial logic and unstable performance. While the tool demonstrates how far AI experimentation has come, it also serves as a cautionary example of why finance professionals must validate outputs and maintain strong technical foundations. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/?originalSubdomain=ca Follow Giles Male: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [02:40] – Welcome back to The Mod Squad [05:04] – Introducing Subset and its promises [08:38] – Importing Excel files into Subset [11:27] – Errors, bugs, and beta limitations [13:50] – Building a three-statement model from scratch [19:25] – A Basic Revenue Reality Check [22:37] – Why Excel Is Hard to Replace [27:10] – Lessons learned from testing multiple tools [30:01] – Why Structured Data Matters | |||
| The Reality of AI Excel Tools for Finance Teams to Understand Formula Complexity with Ian and Giles | 09 Dec 2025 | 00:44:51 | |
In this episode of The Mod Squad, hosts Paul Barnhurst, Ian Schnoor, and Giles Male continue their exploration of tools for financial modeling. This time, they test Melder, a tool designed to streamline financial modeling tasks in Excel. The hosts evaluate how it handles various financial exercises, such as creating formulas and generating a deferred revenue schedule. While the tool shows promise, the hosts identify areas where Melder has room to improve, particularly with bugs and user experience quirks. This episode also highlights the challenges of using tools still in beta. Expect to Learn
Here are a few quotes from the episode:
Melder offers some useful features for financial modeling, such as custom formulas and file handling, but it still faces challenges like data overwriting and slow performance. While it shows potential, especially in automating tasks, it needs further refinement to become a reliable tool for complex financial tasks. As it continues to evolve, we look forward to seeing how it improves and addresses these issues. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/?originalSubdomain=ca Follow Giles Male: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [00:31] - What is Melder? [03:30] - Melder’s Website and Features [08:40] - Testing Melder on Financial Modeling Tasks [12:00] - Exploring Melder’s Formula Creation Capabilities [14:30] - Overview of the LLM Model and Google Gemini Models [19:43] - Testing the Trial Balance and Tool's Thought Process [24:08] - Understanding Overengineered Formulas [32:05] - Testing the PVM Use Case and Encountering Errors [41:51] - Final Thoughts and Melder’s Future Potential | |||
| TrufflePig AI vs Excel for Finance Teams from Building Models to Real-Time DCFs with Ian Schnoor | 02 Dec 2025 | 01:10:38 | |
In this episode of Financial Modeler’s Corner, hosts Paul Barnhurst and Ian Schnoor continue their exploration of AI tools for financial modeling. This time, they test Trufflepig, a tool designed to help financial analysts automate spreadsheet tasks while still allowing them to focus on the insights. The hosts test Trufflepig on various financial modeling tasks, discussing its performance and how it compares to other tools they've used. They cover tasks such as building a DCF model for Nvidia, generating executive summaries, and creating a financial forecast. While Trufflepig performs well in some areas, there are still challenges that need to be addressed, particularly with certain financial concepts like working capital and net income. Expect to Learn
Here are a few quotes from the episode:
Trufflepig is a promising tool for financial professionals, particularly those looking to automate repetitive spreadsheet tasks. While it performs well on basic tasks like building DCF models and creating executive summaries, there are areas for improvement, especially around financial concepts like working capital and the handling of complex formulas. Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/?originalSubdomain=ca Trufflepig: https://Trufflepig.ai/ In today’s episode: [01:40] – Review of Previously Tested AI Tools [05:15] – Trufflepig’s Positioning and Messaging [12:00] – Trufflepig Attempts the eSports Modeling Case [22:00] – Challenges with TEXTSPLIT and Modern Excel Functions [30:50] – Executive Summary Generation [40:01] – Data Sourcing and Web Pulling Behavior [49:26] – Reasons for DCF and Market Price Differences [59:45] – Exporting to Excel and Formatting Issues [1:12:26] – Final Review and Closing Thoughts | |||
| Elkar AI Put to the Test in Live Financial Modeling with Honest Results for Modellers - Ian & Giles | 25 Nov 2025 | 01:08:22 | |
In this episode of The ModSquad on Financial Modeler’s Corner, Giles Male and Ian Schnoor put Elkar to the test, a financial modeling tool that's been getting attention for its speed and slick design. From solving structured Excel challenges to building full forecast models, they push the tool to its limits. What follows is a revealing look at how Elkar performs when accuracy, logic, and professional modeling standards are on the line. Along the way, they uncover surprising strengths, critical flaws, and even moments of unexpected comedy. Whether you’re curious about automation or cautious about AI in finance, this episode offers plenty to think about. Expect to Learn
Here are a few quotes from the episode:
In this episode, Elkar proves to be a fast and visually polished AI tool with clear potential, especially in formatting and task execution speed. However, when it comes to financial logic, assumption structuring, and balance sheet integrity, it consistently misses the mark. The tool even resorts to shortcuts like hardcoding values and plugging imbalances. Follow Giles Male: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ Follow Ian: LinkedIn - https://www.linkedin.com/in/ianschnoor/?originalSubdomain=ca Elkar: https://elkar.co In today’s episode: [06:48] - Exploring Elkar: Website, Pricing, and Features [10:34] - Elkar Takes on the Esports Excel Challenge [20:14] - Elkar Gets Caught Cheating [24:18] - Elkar Struggles with Complex Logic [35:45] - Cash Flow Logic & Balance Sheet Errors [46:38] - From Hardcoding to Dynamic Assumptions [53:45] - Balance Sheet Plugging and Logical Failure [57:34] - Reviewing Elkar’s Working Capital Assumptions [1:04:20] - Wrap up & Final Thoughts | |||
| Testing Shortcut AI's bold claims: Did it live up to the hype with Giles Male | 18 Nov 2025 | 01:08:33 | |
In this episode of The ModSquad on Financial Modeler’s Corner, Paul Barnhurst and Giles Male put Shortcut under the AI microscope, testing one of the most hyped AI tools in the financial modeling world. With claims like “the most accurate Excel agent in the world” and the ability to outperform human champions in modeling tasks, Shortcut has made a big splash, but does it live up to its own bold promises? Paul and Giles run it through a rigorous series of real-world modeling challenges, from esports cases and financial forecasts to dashboard analysis and deferred revenue schedules. What they find is a tool with clear potential, and some serious red flags. Expect to Learn
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Despite the hype, Shortcut proved to be a solid tool with promise. It delivered impressive formatting and UI, yet had some serious issues like incorrect logic, hardcoded values, and non-balancing models, which held it back. A promising AI assistant, just not a replacement for real modeling expertise. Follow Giles Male: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [01:15] - Intro & Where the AI Modeling Journey Stands [05:11] - Shortcut: First Impressions & Bold Claims [14:28] - Viral Demo Video Breakdown [23:12] - Esports Challenge: Basic Excel Tasks [31:19] - Intermediate Case: Modeling Accuracy [36:10] - Building a 3-Statement Forecast [44:24] - Red Flags: Formatting & Balance Sheet Errors [50:27] - Deferred Revenue Test [56:32] - Trial Balance Dashboard: Visuals vs. Substance [1:07:22] - Final Thoughts & Shortcut's Ranking | |||
| How TabAI stacks up as an Excel AI Agent for Financial Modeling Pros, with Ian and Giles | 11 Nov 2025 | 00:52:10 | |
In this episode of The Mod Squad on Financial Modeler’s Corner, Paul Barnhurst, Ian Schnoor, and Giles Male take a close look at TabAI, a tool designed to simplify and speed up Excel tasks using automation and intelligent suggestions. With more tools dropping out of the market and Excel’s own Agent feature gaining ground, the question is simple: Does TabAI offer something worth switching to? From cleaning data and building dashboards to attempting a full five-year forecast, the team puts TabAI through a series of real-world modeling challenges to see what it gets right and where it still falls short. Expect to Learn
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TabAI turned out to be one of the more impressive tools we’ve tested so far, especially when it comes to everyday Excel tasks and building dashboards. It’s not perfect, especially with full-scale models, but it’s definitely a step in the right direction. For now, it’s a great helper, but you’ll still need your own modeling skills to get the job done right. Follow Ian Schnoor: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles Male: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [02:28] - TabAI Leaves Retail [05:17] - Competing with Excel Agent [06:50] - TabAI Feature Overview [10:30] - The “Iron Man Suit” Claim [14:28] - eSports Case Test [23:12] - Dancing Fur Coat Model [29:14] - Trial Balance Dashboard [33:56] - Deferred Revenue Test [38:36] - Full Forecast Model Build [51:10] - Final Thoughts | |||
| How AI Excel Tools Stackup Against the Hype and How Excel Agent Has Disrupted the Marketplace with Ian and Giles | 04 Nov 2025 | 00:34:09 | |
In Episode 5 of The ModSquad on Financial Modeler’s Corner, Paul Barnhurst, Ian Schnoor, and Giles Male take a hard look at the changing landscape of financial modeling in the wake of Microsoft’s release of Excel Agent. Since launching at the end of September to coincide with Excel’s 40th birthday, Excel Agent has quickly changed the competitive dynamics for AI-powered modeling tools. The team explores the implications: how Excel Agent’s capabilities compare to other tools, why third-party platforms are shutting down, and what all this means for the future of work in modeling-heavy industries like investment banking. Expect to Learn
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This episode makes it clear: AI is not a replacement for skill; it’s a multiplier. Excel Agent may be setting the new standard, but success still comes down to human understanding, judgment, and accountability. As the modeling world evolves rapidly, professionals who stay informed and upskill will thrive. The Mod Squad isn’t slowing down either; more tool reviews and sharp conversations are coming. Follow Ian Schnoor: LinkedIn - https://www.linkedin.com/in/ianschnoor/ Follow Giles Male: LinkedIn - https://www.linkedin.com/in/giles-male-30643b15/ In today’s episode: [05:29] - AI Tools Recap [07:26] - AI Hype and Hidden Risks [10:23] - AI as a Skill Magnifier [13:48] - Microsoft’s Impact on AI Startups [16:15] - Rapid Evolution of Excel AI [21:29] - OpenAI’s Role in Financial Modeling [29:17] - Understanding Assumptions and Calculations [31:53] - Final Thought | |||