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Send us Fan Mail What happens when a former Bank of America quantitative engineer combines deep expertise in finance with cutting-edge AI? In this episode of Talking Tuesday, I sit down with Katelyn Schoenberger, founder of MarginLens, to discuss how she built an AI-powered margin intelligence platform from the ground up. We dive into her journey from computer science student to quant developer at JP Morgan and Bank of America, and ultimately to becoming a solo founder building a fintech startup. Along the way, we explore AI-assisted software development, startup life, quantitative finance careers, and why understanding margin is far more important than most people realize. Whether you're interested in quantitative finance, AI engineering, fintech startups, or breaking into Wall Street, this conversation is packed with practical insights and career advice. In this episode: Building an AI-powered margin platform as a solo founder Life as a quantitative engineer at Bank of America Margin explained: what it is and why it matters How AI is changing financial infrastructure Startup lessons from building a production-ready fintech product Claude Code, AI-assisted software engineering, and modern development workflows Breaking into quantitative finance without attending a target school JP Morgan vs. Bank of America career experiences Software engineering vs. quantitative finance careers Why documentation, architecture, and explainability still matter in the AI era Career advice for students and aspiring quants Women in STEM and navigating technical careers The importance of creativity, hobbies, and lifelong learning If you're considering a career in quantitative finance, software engineering, machine learning, or fintech, this interview offers an honest look at what it takes to succeed—and how AI is reshaping the industry. 👍 If you enjoyed this interview, please Like, Subscribe, and leave a comment with your thoughts or questions for a future episode.  #QuantFinance #ArtificialIntelligence #Fintech #MachineLearning #SoftwareEngineering #BankOfAmerica #JPMorgan #ClaudeCode #Startup #WallStreet #RiskManagement #Trading #DataScience #CareerAdvice #FancyQuant  Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail A long form discussion on the history of programming for quants at the banks from SAS to Python and the rise of machine learning. While the hype of machine learning changed some of the banking modeling practices the industry kept their head straight as regulators closely watched. Now in 2026 with the AI hype wave and regulators being less strict, the banks seem lost as many are calling to replace SR 11-7 with general frameworks to reduce risk management and drive more efficiency. While this sounds good from a profit perspective, it is throwing out common definitions of models in a chase for non-sense. Balancing the hype and trends also has been hard with the YouTube channel. It is much easier to sell snake oil as everyone wants a magical cure to profit, high salaries, minimal work, programming, math, and stats without putting in any work. I have done fairly well at sticking to creating real quant educational materials and industry perspectives even when passing up easy growth opportunities. Ten years later and we passed 100k subscribers without selling out. Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Didier Lopes studied control systems and electrical engineering in Europe before moving to the United States to build OpenBB, a next-generation financial research workspace. Frustrated by how fragmented data, analysis, and decision-making tools were across finance and other industries, Didier set out to create a professional-grade platform where teams can bring their data, analytics, and AI into one unified environment. Before founding OpenBB, he worked on cutting-edge technologies ranging from self-driving cars to wearable fitness devices, following a deep curiosity for complex systems and real-world impact. In this episode, we talk about building in the age of AI, navigating life as a founder in the U.S., and the nuances of time-series modeling in financial markets. OpenBB Examples: https://openbb.co/solutions OpenBB Product: https://pro.openbb.co/ LinkedIn: https://www.linkedin.com/in/didier-lopes/ High Growth Handbook (book recommendation - affiliate link): https://amzn.to/4aAvbfS Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Jeffrey Rosenberg, CFA, Managing Director is a senior portfolio manager within BlackRock Systematic. He leads active and factor investments for mutual funds, institutional portfolios and ETFs within BlackRock’s Systematic Fixed Income (“SFI”) portfolio management team. In this role he serves as a member of the SFI Investment and Executive Committees and as a senior portfolio manager for several investment products including the BlackRock Systematic Multi-Strategy Fund (BIMBX), the iShares Systematic Alternatives Active ETF (IALT) and the iShares Managed Futures Active ETF (ISMF). We talked about systematic portfolio managers compared to discretionary portfolio managers, his career and education from finance and math into computational finance at Carnegie Mellon, the changes in the market from banks to hedge funds being driven by the global financial crisis, and some book recommendations. BlackRock Systematic Investing: https://www.blackrock.com/us/individual/investment-ideas/systematic-investing BlackRock’s Q1 Fixed Income Outlook: https://www.blackrock.com/us/financial-professionals/literature/market-commentary/fixed-income-market-outlook.pdf Jeffrey Roseberg: https://www.blackrock.com/us/individual/biographies/jeffrey-rosenberg Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Michael Jordan Pilgreen was a poetry and art major but as covid hit and the commercial art industry changed he looked for a new path. He considered financial planning but ended up learning finance and technology to become an engineer on Wall Street in the fixed income market. Now he is a co-founder of Enduring Markets which is a capital markets publication covering a range of interesting topics. I got the privilege to advise Michael about 5 years ago during his journey on what quant finance was. Today I got to learn more in depth about fixed income from him. Michael Jordan Pilgreen https://www.linkedin.com/in/michael-jordan-pilgreen-7a3099108/details/experience/ Enduring Markets https://www.enduringmarkets.org Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Interested in what quantum computing is? Ramis Movassagh explains the basics of quantum, some applications to finance, why it is a hard problem to solve, and ways to learn more about it. Ramis is an applied mathematician and a theoretical physicist who researches quantum computation and information theory, and quantum cryptography and complexity. He does an amazing job at laying out some of the basic ideas of quantum mechanics. Ramis' Links: LinkedIn: https://www.linkedin.com/in/ramis-movassagh-33465717/ Website and Blog: https://ramismovassagh.wordpress.com/ https://ramismovassagh.wordpress.com/blog X handle: @Ramis_Movassagh Quantum supremacy paper: https://www.nature.com/articles/s41567-023-02131-2 PDF for those behind the paywall: https://www.nature.com/articles/s41567-023-02131-2.epdf?sharing_token=oYgyql7M-nUPNwLJ4F2Q_tRgN0jAjWel9jnR3ZoTv0M5gli-apQIlZ1xThgS5KRp3t28rkad24bSeQ-gRMhmOaNP232U_FZZQjPrseDCTdXIRryTWL339snJllwZAjuD5PMkLKij96GMA_OniVnTz5JjaARH0qW5OV-AKwZr4VI%3D Press coverage: https://phys.org/news/2023-09-difficulty-simulating-random-quantum-circuits.html https://communities.springernature.com/posts/the-quest-for-quantum-primacy Quantum Merkle Trees: https://quantum-journal.org/papers/q-2024-06-18-1380/ IBM's "Basics of Quantum Information": https://quantum.cloud.ibm.com/learning/en/courses/basics-of-quantum-information John Preskill from CalTech: https://www.preskill.caltech.edu/ MIT "Quantum Computing": https://ocw.mit.edu/courses/18-435j-quantum-computation-fall-2003/ Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Diving into pure math, quantitative finance, and solving business problems with AI and LLMs. Cheikh Fall is a co-founder of Sabr Research and an MIT grad who is looking to solve many business problems with the advancements in AI. We discuss potential issues with AI, what hedge funds look for in quant researchers, and how to prepare as a student for AI. Cheik Fall https://www.linkedin.com/in/fallcheik/ Sabr Research https://www.linkedin.com/company/sabr-research/ Dimitri Bianco https://www.linkedin.com/in/dimitri-bianco/ My favorite coffee which supports the creation of these podcasts https://volcanicacoffee.pxf.io/yq6Qj3 Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail I had a blast taking to Michael Watson who is the founder and CEO of Hedgineer.  "AI is the future. But not everyone is prepared for it. To effectively integrate AI into a company, it needs an organized, thorough, and secure inventory of data. Without one, every AI implementation remains incomplete because it only has access to a subset of the relevant information it needs. Most hedge funds are built on disjointed networks of research portals, order management systems, and datasets. The ones that don't consolidate them will run the risk of falling behind the AI curve." Michael's LinkedIn: https://www.linkedin.com/in/michaeldavidwatson/ Hedgineer: https://www.hedgineer.io/ https://www.youtube.com/@hedgineer https://podcasts.apple.com/us/podcast/the-hedgineer-podcast/id1674929284 https://open.spotify.com/show/0Aq6pxdUONA4aJPntsvqf2 https://www.linkedin.com/company/hedgineer-io/ Video Version: https://youtu.be/2hyfMMl1pGg Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Learn about financial AI expert, Igor Halperin's journey from the Soviet Union to physics and finally quantitative finance in the US. A great discussion on why many physists choose to go into quantitative finance, the positive and negative impacts of LLMs, and some perspectives on careers. Igor Halperin: https://www.linkedin.com/in/igor-halperin-092175a/ YouTube Version: https://youtu.be/J7O6Scnc5NA Igor's Textbook: https://amzn.to/42IGAGh Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Jeff Ryan is an alpha engineer with an unconventional background. He is also the co-founder of QUANTkiosk and loves solving problems. Some great discussion on programming languages, structuring data, the quant community, and why R programming is so useful. YouTube Version: https://youtu.be/U0qf-sRzQZk QUANTkiosk http://www.quantkiosk.com Jeff Ryan https://www.linkedin.com/in/jeffreyaryan/ Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail AI has many use cases and is a very broad area. AI has been used in finance since the rise of computers and the internet through automated systems. From trading to originating loans, AI is not new to finance. As LLMs have become the main focus over the last few years, there are a lot of wild predictions and fear of missing out. While LLMs and great at simple tasks and those with low risk, they are not actually thinking and need a lot of engineering around them to make them useful. They are also great at taking unstructured text data and images and turning them into structured data for more traditional methods such as math, logic, programming, statistics, and machine learning. I see there being a big lift in automating common tasks however the core of a business and where it has a competitive edge will continue to be done through non-AI methods. Don't get me wrong, implementing AI as a cost saving approach to common tasks can be an edge but it shouldn't be the main focus of your business. Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Roman Bansal is the founder of NanoConda. We discuss growing up in Russia, the joy of reading books, and how NanoConda can help you set up software, API, hardware, and colocation for HFT (high frequency trading) for smaller firms. We also discuss why Dallas, Texas is growing in the quant space as many firms are locating here. NanoConda https://nanoconda.com/ Roman Bansal https://www.linkedin.com/in/romanbansal/ Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Tribhuvan Bisen is a co-founder of Quant Insider. We learn about his journey from his education to working at Deutsche and then starting Quant Insider. We also discuss the quant job and education market in India and what it takes to be a quant. Quant Insider: https://quantinsider.io/ https://www.linkedin.com/company/quant-insider/ Tribhuvan Bisen: https://www.linkedin.com/in/tribhuvan-bisen/ Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Fred Viole is the founder of OVVO Labs and has been putting together a complete statistical framework using partial moments and nonlinear and nonparametric statistics (NNS). He also has an R package which is free called, NNS. The application of NNS to finance is proprietary and what OVVO Labs uses to sell macroeconomic forecasts, a utility based portfolio optimization tool, and an option pricing tool. From the horse race tracks to trading and to the chase of an entrepreneurial journey, Fred Viole is changing Wall Street and the finance world as we know it.  OVVO Labs https://www.ovvolabs.com/ Presentation, "Partial Moments in Quantitative Finance" https://www.ovvolabs.com/media/ R NNS Package: https://cran.r-project.org/web/packages/NNS/index.html Video version: https://youtu.be/DYDTD3_76VA Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show

Send us Fan Mail Project Phoenix is me re-organizing my life. I got an offer to be a CRO and instead of taking it, I quit my job, sold my honeybees, and decided to run a half marathon. I started my own business called, "Fancy Quant LLC" where I will consult in quant research, risk management, career development, and academic program consulting and advisory services. For opportunities contact me on LinkedIn: https://www.linkedin.com/in/dimitri-bianco/ Join the quant community in Dallas, Texas April 10th at SMU! Quaint Quant Conference - 2026 Learn and network from a close knit quant community! Support the show