Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...

Boards formally treat model risk as important, but in practice many banks treat it as a compliance box-ticking exercise that only attracts senior attention when something visibly breaks or a regulator ...

Key insight: Joint guidance from the Federal Reserve and Office of the Comptroller of the Currency on managing model risk leaves many concerns about artificial intelligence, and especially agentic AI, ...

With the 2011 standard now superseded, KDOA and its Model IQ platform help banking organizations map their model risk programs to the revised guidance, and govern the AI models the regulators ...

This article was written by Antonios Lazanas, Head of Portfolio and Index Research at Bloomberg. Modern risk modelling is not just about monitoring risk. Sure, the specialists who manage risk are ...

Banks are rethinking liquidity management as regulation, technology and market dynamics reshape risk. Learn how banking execs are responding to the forces impacting liquidity while strengthening ...

Since fraud unfolds in real time, even the smallest delays in batch-based review cycles can cause risk teams to miss the threat. Consider a mid-sized digital bank that discovers a coordinated ATO ...

Over time, investment portfolios can drift away from their original allocation. This can happen for a range of reasons. A new fund manager could deviate from a fund’s original process. Fund managers ...