Is traditional MRM dead?
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An intimate round table on applying model risk management to generative and agentic AI, hosted by Yields, with Jonathan Taylor from the Bank of England as a special guest.
Generative and agentic AI are moving into production faster than the frameworks built to govern them. Traditional model risk management was designed for a world of well-defined statistical models with predictable behaviour. That world still exists, and those models still need governing, but a new class of systems now sits alongside them: systems that generate, reason, and increasingly act on their own.
Join us for a working breakfast in the City of London, where a small group of model risk leaders will sit down to work through what MRM looks like when the models no longer behave like models.
The question on the table
The latest model risk supervisory guidance, SR 26-2, deliberately places generative and agentic AI outside its scope, treating them as too novel and fast-moving to govern under the existing framework and leaving institutions to fall back on their general risk management practices. At the same time, the Financial Stability Board has set out a range of sound practices for the responsible adoption of AI, giving risk teams a growing body of better practice to draw on. That leaves teams caught between two frameworks that were never designed to meet: one that writes these systems out, and one that describes how to govern them without saying how far the principles reach
So we start with a deliberately provocative question: is MRM dead, or is it exactly the discipline that should own AI governance? And if MRM folk are the right people to govern these systems, how far do the principles actually stretch?
What we will explore
Over breakfast, the group will work through questions including:
This is a conversation between peers, not a presentation. Every seat at the table is expected to contribute.
Who should be in the room
This round table is built for heads of model risk at large and medium-sized building societies, and for the risk and governance leaders working closest to them.
Building societies are adopting AI at different speeds, and for most the AI governance journey is earlier than it is for the largest banks. Industrialising that governance, moving from ad hoc oversight to a structured, repeatable, audit-ready process, is one of the hardest problems in the room right now. If that is the problem on your desk, this table is for you.
Your hosts
The round table is hosted by Jos Gheerardyn and Helena Goyvaerts of Yields, joined by Jonathan Taylor from the Bank of England.
Jos Gheerardyn
Yields
Co-founder & CEO
Helena Goyvaerts
Yields
Sales & Partnership / Channel Manager
Jonathan Taylor
Bank of England
Head of Quantitative Analysis & Model Risk Management
Yields provides model risk management and AI governance software to financial institutions including HSBC, SMBC, BNP Group, Euroclear and is a Category Leader in the Chartis 2025 RiskTech Quadrant for AI Governance.
Format and logistics
About the
Speaker(s) /
Jos Gheerardyn is the co-founder and Chief Executive Officer (CEO) of Yields. Prior to his current role, he worked as both a manager and an analyst in the field of quantitative finance. With nearly 20 years of experience, he has worked with leading international investment banks and start-up companies. Jos is the author of multiple patents that apply quantitative risk management techniques to the energy balancing market. Jos holds a PhD in superstring theory from the University of Leuven.
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