Financial Modeler's Corner

Paul Barnhurst AKA The FP&A Guy
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Financial Modeler's Corner is a podcast where we talk all about the art and science of financial modeling with distinguished Financial Modeler's from around the globe. Financial Modeler's Corner is hosted by Paul Barnhurst, aka The FP&A Guy, a global thought leader in the field of finance.  The Financial Modeler's Corner podcast is brought to you by Financial Modeling Institute. FMI offers the most respected accreditations in financial modeling. 

  1. What 2025 Taught Us About Excel AI and Where Financial Modeling Is Heading in 2026

    HÁ 8 H

    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 Learn Key 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 modelers Here 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 Barnhurst 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

    22min
  2. How Curiosity and Listening Help Financial Modelers Build Trusted Models with Ian Bennett

    30/12/2025

    How Curiosity and Listening Help Financial Modelers Build Trusted Models with Ian Bennett

    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 Why defining a model’s purpose upfront is essential to successThe most important listening and scoping skills great modelers must developHow Excel’s evolution over the past 18 months is changing the gameWhat it means to be model-first vs. outcome-focusedWhy curiosity and human insight are irreplaceable, even in the age of AI Here are a few quotes from the episode: “Every model tells a story, and that story should be known at the start of the project. It’s about understanding what questions the model needs to answer.” – Ian Bennett“Be curious. That curiosity is what drives innovation in modelling, learning new tools, asking better questions, and solving real problems.” – Ian Bennett 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

    49min
  3. We Tested 7 AI Tools in Excel for Financial Modeling, and None Could Build a Reliable Model

    23/12/2025

    We Tested 7 AI Tools in Excel for Financial Modeling, and None Could Build a Reliable Model

    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 How leading AI tools perform on real financial modeling tasksCommon issues like unbalanced sheets and flawed formulasKey differences between Excel-based and standalone toolsPractical ways AI can assist with analysis and reportingWhy Excel and modeling expertise still matter in an AI-driven workflow Here are a few quotes from the episode: “Even five years from now, you’ll still need to understand every cell if you're handing in a model.” – Ian Schnoor“Fast, consistent outputs are still better achieved by experienced humans than by today’s AI tools.” – Giles Male 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

    51min
  4. What Happens When the AI Tools Fail Basic Math and More with Ian and Giles

    16/12/2025

    What Happens When the AI Tools Fail Basic Math and More with Ian and Giles

    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 What Subset promises to do and how it performs in real-world testingThe challenges of importing Excel files into non-Excel environmentsWhy basic accounting logic still breaks many AI modeling toolsThe risks of using outdated or unsupported AI tools found onlineWhat it would actually take for professionals to move away from Excel Here are a few quotes from the episode: “There’s no AI on the planet that should tell you gross profit is revenue plus costs.” – Ian Schnoor“It’s clever, but massively flawed and unreliable in lots of areas right now.” – Giles Male 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

    35min
  5. The Reality of AI Excel Tools for Finance Teams to Understand Formula Complexity with Ian and Giles

    09/12/2025

    The Reality of AI Excel Tools for Finance Teams to Understand Formula Complexity with Ian and Giles

    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 A detailed review of Melder’s features for Excel-based financial modeling.How Melder compares to other tools previously tested by the team.Challenges faced when using Melder for tasks like building formulas and financial schedules.The pros and cons of using Melder, especially when it comes to its unique features and limitations.Insights into tools’ development process, especially when still in beta. Here are a few quotes from the episode: "I appreciate the confidence behind the bold statements, but at the end of the day, tools need to make sure they’re doing the job correctly." – Ian Schnoor"When tools go wrong, it’s not just about fixing the error; it’s about understanding what went wrong so we can avoid future issues." – Giles Male 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

    45min
  6. TrufflePig AI vs Excel for Finance Teams from Building Models to Real-Time DCFs with Ian Schnoor

    02/12/2025

    TrufflePig AI vs Excel for Finance Teams from Building Models to Real-Time DCFs with Ian Schnoor

    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 A review of Trufflepig, an AI-powered spreadsheet tool.How Trufflepig performs on real-world financial tasks.The benefits and limitations of AI tools in financial modeling.Insights into how Trufflepig compares with other financial modeling tools. Here are a few quotes from the episode: “The biggest advantage of using Trufflepig is that it helps you with the repetitive tasks, so you can focus on higher-level analysis.” - Ian Schnoor“Trufflepig is an interesting tool, but as with any new software, there’s a learning curve. But if it delivers value, it’s worth it.” - Ian Schnoor 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

    1h11min
  7. Elkar AI Put to the Test in Live Financial Modeling with Honest Results for Modellers - Ian & Giles

    25/11/2025

    Elkar AI Put to the Test in Live Financial Modeling with Honest Results for Modellers - Ian & Giles

    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 What Elkar gets right: speed, formatting, and a sleek interfaceWhere it breaks down: logic errors, disconnected assumptions, and unreliable outputsHow Elkar stacks up against other AI tools like TabAI and AgentWhy using AI without understanding modeling fundamentals can be dangerousWhat it takes to turn a promising AI output into a reliable financial model Here are a few quotes from the episode: "Right now, Elkar is like a junior analyst, you see potential, but you can't let them run unsupervised." - Giles Male"AI tools like this might build something that looks like a model, but without logic, it’s a house of cards." - Ian Schnoor 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

    1h8min
  8. Testing Shortcut AI's bold claims: Did it live up to the hype with Giles Male

    18/11/2025

    Testing Shortcut AI's bold claims: Did it live up to the hype with Giles Male

    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 Where Shortcut impresses with formatting, speed, and usabilityWhere it fails, especially with modeling logic How Shortcut compares to Excel Agent and TabAI across key modeling tasksWhy reversing formatting in a model is a huge red flagWhat to consider when investing in premium AI tools for modeling Here are a few quotes from the episode: “Shortcut has potential, but right now it’s flash over fundamentals.” - Giles Male“Could you imagine an analyst reversing formatting to make a number look negative? They’d be out the door.” - Giles Male 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

    1h9min
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Sobre

Financial Modeler's Corner is a podcast where we talk all about the art and science of financial modeling with distinguished Financial Modeler's from around the globe. Financial Modeler's Corner is hosted by Paul Barnhurst, aka The FP&A Guy, a global thought leader in the field of finance.  The Financial Modeler's Corner podcast is brought to you by Financial Modeling Institute. FMI offers the most respected accreditations in financial modeling. 

Informações

  • Criado por
    Paul Barnhurst AKA The FP&A Guy
  • Anos de atividade
    2023 - 2026
  • Episódios
    113
  • Classificação
    Livre
  • Copyright
    © Copyright 2024 All rights reserved.
  • Site do podcast
    Financial Modeler's Corner

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