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Estimated from 8 chart positions in 8 markets.
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- 🇸🇪SE · Management#9310K to 30K
- 🇲🇽MX · Management#1241K to 10K
- 🇪🇸ES · Management#1861K to 10K
- 🇫🇷FR · Management#1891K to 10K
- 🇵🇹PT · Management#613K to 10K
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Est. listeners per new episode within ~30 days
6K to 26K🎙 Daily cadence·127 episodes·Last published 2d ago - Monthly Reach
Unique listeners across all episodes (30 days)
20K to 86K🇸🇪35%🇲🇽12%🇪🇸12%+5 more - Active Followers
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8K to 34K
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On the show
From 17 epsHost
Recent guests
Recent episodes
AI in Financial Modeling: Better Than Ever, Still Not There, and the Fatigue Factor
Jun 23, 2026
Unknown duration
The Language and Excel Problem Stopping AI from Fixing Financial Modeling with John Yeldham
Jun 16, 2026
Unknown duration
The Critical Role of Communication and Standard Definitions in Financial Modeling with John Yeldham
Jun 9, 2026
51m 00s
How Founders Mistake Models Only for Fundraising and What They Should Do With Ilyas Anis
Jun 2, 2026
44m 37s
The Mistakes in Structure and Data Thinking That Break Models with Mark Proctor
May 26, 2026
50m 00s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/23/26 | ![]() AI in Financial Modeling: Better Than Ever, Still Not There, and the Fatigue Factor | 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 LearnWhere AI actually adds value in modeling and finance workflowsWhy AI outputs still need careful checking and guidanceHow different AI tools compare when building real modelsWhy instructions, structure, and human oversight improve AI resultsHere are a few quotes from the episode:“Most companies don’t have AI governance yet, and that’s where real risk comes in.” - Ian Schnoor“Automation is great, but you still need to audit and understand every step.” - Giles Male 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 | — | ||||||
| 6/16/26 | ![]() The Language and Excel Problem Stopping AI from Fixing Financial Modeling with John Yeldham | 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:Standardize language to improve clarity and collaborationUse modular blocks to make models understandable and trustedLeverage advanced Excel functions carefully for scalable, auditable modelsOnline training through Lodeum allows flexible global learningHere are a few quotes from the episode:"If standards could be introduced for language, it allows financial modeling knowledge to be shared and scaled beyond individual experts." - John Yeldham"The role of a modeler is evolving from just churning out numbers to creating reusable, understandable modules." - John YeldhamJohn 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=7079020077076905984Sign up for the Advanced Financial Modeler Accreditation today and get 15% off using the code “Podcast” at https://bit.ly/497oAqWIn 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 | — | ||||||
| 6/9/26 | ![]() The Critical Role of Communication and Standard Definitions in Financial Modeling with John Yeldham✨ | financial modelingcommunication+4 | John Yeldham | LodeumBDO UK+1 | — | financial modelingExcel+5 | — | 51m 00s | |
| 6/2/26 | ![]() How Founders Mistake Models Only for Fundraising and What They Should Do With Ilyas Anis✨ | financial modelingstakeholder confidence+4 | Ilyas Anis | Turning Point Brands CanadaIMnS Associates | — | financial modelsstakeholder confidence+5 | — | 44m 37s | |
| 5/26/26 | ![]() The Mistakes in Structure and Data Thinking That Break Models with Mark Proctor✨ | financial modelingdata analysis+5 | Mark Proctor | Excel Off The Grid | — | financial modelingdata analysis+7 | — | 50m 00s | |
| 5/19/26 | ![]() AI in Investment Banking for Analysts to Adapt as Workflows Change but Jobs Remain – Matan✨ | AI in investment bankingfinancial modeling+4 | Matan Feldman | Wall Street PrepMorgan Stanley+3 | — | AIinvestment banking+6 | — | 19m 18s | |
| 5/12/26 | ![]() The Investment Banking Job Hasn't Changed Since 1990. AI Is Changing That with Wall Street Prep CEO Matan Feldman✨ | AI in investment bankingfinancial modeling education+3 | Matan Feldman | Wall Street PrepMorgan Stanley+3 | — | investment bankingfinancial modeling+3 | — | 47m 24s | |
| 5/5/26 | ![]() Financial Modeling for Analysts to Build Clear, Structured Models for Better Decisions with Shreya Bhatt✨ | financial modelingproject finance+3 | Shreya Bhatt | CrossBoundary Group | renewable energyinfrastructure | financial modelingproject finance+5 | — | 39m 21s | |
| 4/28/26 | ![]() AI in Finance for Professionals Dealing with Errors, Overhype, and Constant Learning Pressure✨ | AI in financefinancial modeling+3 | Ian SchnoorGiles Male | LinkedIn | — | AIfinance+5 | — | 48m 07s | |
| 4/21/26 | ![]() The Rise of Evergreen Funds for Retail Investors to Enter Private Markets with Rafael✨ | financial modelingvaluation+4 | Rafael Le Saux | PwC Deals and Strategy LuxembourgPartners Group | — | financial modelingvaluation+5 | — | 21m 38s | |
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| 4/14/26 | ![]() Evergreen Fund Growth and the NAV Valuation Challenges Financial Modelers Face with Rafael✨ | valuationfinancial modeling+4 | Rafael Le Saux | PwC LuxembourgPartners Group | FranceAustralia+1 | financial modelingvaluation+5 | — | 45m 38s | |
| 4/7/26 | ![]() What Every Finance Student Should Learn Before Graduating with Riley Edwards✨ | financial modelingwealth management+4 | Riley Edwards | IG Private Wealth ManagementAdrian College | Schomberg, Ontario, Canada | financial modelingfinance education+5 | — | 31m 20s | |
| 3/31/26 | ![]() Excel Will Never Be the Same Again after AI Copilot with Brian Jones✨ | AI in Excelproductivity tools+3 | Brian Jones | ExcelOffice Forms+3 | — | ExcelAI Copilot+5 | — | 17m 11s | |
| 3/24/26 | ![]() AI Builds Obsession for Financial Modelers to Refocus on Specification Testing and Trust Now✨ | AI in financial modelingtrust in financial modeling+3 | Ian Bennett | ClaudePwC+2 | — | financial modelingAI tools+5 | — | 43m 03s | |
| 3/17/26 | ![]() How Microsoft is Making Excel an AI-Powered Platform with Product Manager Brian Jones✨ | AI in ExcelExcel user experience+3 | Brian Jones | ExcelCopilot+3 | — | AIExcel+6 | — | 43m 18s | |
| 3/10/26 | ![]() Tips For Aligning the Forecasting Process between Finance and Operations with Amber Johnson✨ | forecastingfinancial modeling+4 | Amber Johnson | Peachy ProfitabilityAnheuser-Busch | — | forecastingfinancial outcomes+5 | — | 46m 51s | |
| 3/3/26 | ![]() Why Structure and Design are Critical Elements of Trust and Credibility in Financial Modeling with Nick Boberg✨ | financial modelingtrust and credibility+4 | Nick Boberg | Boberg AdvisoryPwC+1 | Hamilton, New Zealand | financial modelingExcel+5 | — | 43m 44s | |
| 2/24/26 | ![]() We Tested Claude Opus 4.6 and the Results were Super Impressive✨ | AI in financefinancial modeling+3 | Ian SchnoorGiles Male | Claude 4.6Financial Modeling Institute+1 | — | Claude 4.6financial modeling+5 | — | 59m 37s | |
| 2/17/26 | ![]() AI in Finance for Modelers to Succeed by Mastering the Fundamentals with Chris Reilly✨ | AI in financefinancial modeling fundamentals+3 | Chris Reilly | Financial Modeling EducationWall Street Prep+2 | — | AIfinancial modeling+5 | — | 16m 09s | |
| 2/10/26 | ![]() Financial Modelers Must Master the Fundamentals Before Trusting AI with Chris Reilly | 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 LearnWhy financial modeling fundamentals matter more than ever in an AI-driven worldHow Chris actually uses AI in real client models versus online hypeWhy simple, well-built models outperform overly complex onesHow to balance technical modeling skills with business decision-makingHere are a few quotes from the episode:“AI is a great accelerator if you already understand the fundamentals. If you don’t, it just magnifies the problem.” - Chris Reilly“There’s a missing middle right now where people are skipping the fundamentals and jumping straight to the results.” - Chris ReillyChris 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=7079020077076905984Sign 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 | — | ||||||
| 2/3/26 | ![]() The Excel Techniques for Modelers to Build Real World-Business Forecasts - Luke Phillips | 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 LearnHow a bad college project helped kickstart Luke’s modeling careerWhat Solver is and how it supports complex planning and reportingTips for simplifying models without losing valueThe role of communication in building useful modelsLuke’s take on AI and dynamic arrays in ExcelHere are a few quotes from the episode:“We're not hiring you for your technical ability, we're hiring you for your potential.” – Luke“I love spreadsheets, the way you can pull complex calculations together and form a view of a company.” – LukeLuke 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=7079020077076905984Sign 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 | — | ||||||
| 1/27/26 | ![]() The Storytelling Techniques for Financial Modelers to Impress Investors with Karishma Karishma Ramnawaj | 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 LearnWhy using someone else’s model as a template can be riskyThe importance of understanding and communicating key assumptionsHow to tailor models for investors and third-party usersWhat it’s like to fail, and then pass, the AFM examThe value of applying both corporate and project finance in modellingHere are a few quotes from the episode:“If you're going to use someone else's model, make sure you understand everything inside it.” – Karishma“It's not just about Excel. It's about who's using the model and what story you're telling with it.” – KarishmaKarishma'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=7079020077076905984Sign 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 | — | ||||||
| 1/20/26 | ![]() How Excel AI Agents Actually Work for Financial Modelers to Understand LLMs & Tools with Tim Jacks | 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 LearnHow AI is revolutionizing financial modeling and the specific ways it’s being used today.The technical components behind AI agents and how they differ from simple chatbots.The importance of context and system prompts when working with LLMs in financial tasks.Insights into the memory limitations of LLMs and how agents work around this challenge.Here are a few quotes from the episode:"If you're using AI for Excel modeling, you need to remind it to follow good financial modeling principles, like the FAST Standard." – Tim Jacks"The beauty of LLMs is that you can go back and change the conversation, they're stateless, so it's like resetting the clock." – Tim JacksTim 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 | — | ||||||
| 1/13/26 | ![]() Financial Modeling for Corporate Finance Teams to Unlock Business Without Templates - Carolina Lago | 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 LearnWhy hard-coded models are a major risk to accuracy and flexibilityHow to turn raw data into insights that drive real business decisionsThe importance of starting every model with a clear question or goalHow the TACTIC framework improves structure and clarity in modelingWhy strong modeling skills matter at every career stageHere are a few quotes from the episode:“I inherited one, and I had to try to change it. I spent probably a couple of weeks trying to make it better, and I couldn't. It was just too full of hardcoded numbers and no design at all.” – Carolina Lago“Data is only useful if it can be transformed into actionable insights.” – Carolina LagoFollow Carolina:LinkedIn – https://www.linkedin.com/in/s-carolinalago/Website – https://www.tacticfinancial.comIn 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 | — | ||||||
| 1/6/26 | ![]() What 2025 Taught Us About Excel AI and Where Financial Modeling Is Heading in 2026 | 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 LearnKey trends in Excel and financial modeling from 2025How AI is changing the way models are built, tested, and auditedThe importance of simplicity, documentation, and user involvement in model designWhy communication and business understanding are becoming essential skills for modelersHere are a few quotes from the episode:“Complexity can backfire by making you indispensable in ways that hurt your career growth.” – Paul Barnhurst“AI is a magnifier, it makes good modelers better and highlights weaknesses in those without a solid foundation.” – Paul BarnhurstIn 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 | — | ||||||
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Chart Positions
8 placements across 8 markets.
Chart Positions
8 placements across 8 markets.

























