Agentic AI in Quant Risk: Adoption, Open Source and What Comes Next

In this episode of Ahead of the Curve, we explore how rapid advances in artificial intelligence are reshaping quant modelling, risk management and analytics development across the industry.  Hosted by Xabier Anduaga, Partner, Post Trade Solutions Quant Services team, the discussion brings together Stuart Smith, Head of Risk Services, and Joey O’Brien, Principal Quant Consultant, to examine how AI adoption in risk modelling has evolved since the early days of large language models – and why the last 6–12 months have marked a turning point for the quant community.  The conversation moves beyond hype to focus on real‑world applications, including how agentic AI is being used for model development, market data analysis, backtesting, regulatory calculations, and dynamic stress testing. The speakers discuss how custom prompts and domain‑specific agents are becoming critical differentiators, and why open‑source risk libraries are uniquely positioned to unlock the full potential of AI‑driven development.  Looking ahead, the episode also explores how AI is changing the day‑to‑day role of quants and risk analysts, reducing time spent on manual cleansing and coding tasks, and enabling deeper analysis, research and decision‑making. From the future of risk system APIs to the possibility of fully AI‑driven stress scenario generation, the panel shares practical insight into what risk teams should be preparing for next.