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Video
Evolving Model Risk Frameworks for a More Complex and Dynamic Landscape
At Advanced Model Risk Europe, Liam Davies discusses how financial institutions are adapting model risk management frameworks to address increasing model complexity, regulatory expectations and the growing use of advanced analytics. He highlights the importance of strengthening governance, improving model transparency, and ensuring frameworks remain flexible enough to support both innovation and control.
Apr 10, 2026
Liam Davies, Senior Manager or Retail Forecasting and Stress Testing, Lloyds Banking Group
Tags:
Model risk
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
In this interview, Liam Davies explores how organisations are responding to the rapid evolution of model risk, driven by advances in AI, machine learning and data availability. He reflects on the challenges of maintaining robust validation processes and clear model oversight while enabling innovation across the business.
He also discusses the need for greater integration across risk, technology and business teams, as well as the importance of embedding model risk considerations throughout the model lifecycle. As regulatory scrutiny continues to increase, Davies emphasises that strong governance, transparency and adaptability will be critical to building resilient and effective model risk frameworks.
Liam Davies Bio
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