Agentic AI in Quantitative Finance: A Hands-On Masterclass

Building AI agents for research, modeling, risk and portfolio workflows Join Sri Krishnamurthy, CFA, Founder of QuantUniversity and author of the forthcoming Wiley book AI and Risk Management in Finance, for a special Boston FinTech Week masterclass exploring how Agentic AI is transforming quantitative finance. 🎁 All participants will receive an exclusive excerpt from AI and Risk Management in Finance, forthcoming from Wiley in December 2026. AI is rapidly moving beyond chatbots and copilots toward systems that can reason across problems, work with data, use tools, generate and execute code, evaluate results, and orchestrate multi-step financial workflows. In this intensive 60-minute session, we’ll explore how these capabilities can be applied to real quantitative finance problems, including: But the session isn’t simply about what Agentic AI can do. We’ll examine what it takes to move from a prompt or prototype to a reliable agentic quantitative workflow — including architecture, validation, governance, human oversight, and where these systems can fail. What you’ll take away You’ll leave with a practical framework for identifying quantitative and risk workflows that are candidates for agentic automation, along with an understanding of the controls required to deploy these systems responsibly in financial institutions. You’ll also receive an exclusive excerpt from Sri’s forthcoming Wiley book, AI and Risk Management in Finance, providing a deeper treatment of AI risk, governance and validation in financial services. Format 60-minute interactive masterclass Live demonstrations. Practical examples. Discussion. No traditional conference panel — this is a working session. Who should attend? Designed for professionals across quantitative finance, asset management, risk management, model risk, data science, AI/ML, fintech and financial technology. About Sri Krishnamurthy Sri Krishnamurthy, CFA, is the Founder of QuantUniversity and author of the forthcoming Wiley book AI and Risk Management in Finance (December 2026). His work spans quantitative finance, artificial intelligence, model risk management and financial technology. He has trained professionals and worked with financial institutions, regulators, professional associations and universities on quantitative methods, machine learning, Generative AI and Agentic AI. His current work focuses on the design, deployment, validation and governance of Agentic AI systems in regulated financial services. Hosted by QuantUniversity as part of Boston FinTech Week. Space is limited. Registration required.