Our insights

Look closer at model risk management since SR11-7 and understand the main themes shaping the MRM space.

The added risk brought on by the complexity of machine-learning models can be mitigated by making well-targeted modifications to existing validation frameworks.

The answer is yes - but only if leaders start embracing technological social responsibility (TSR) as a new business imperative for the AI era.

An increasing reliance on models, regulatory challenges, and talent scarcity is driving banks toward a model risk management organization that is both more effective and value-centric.

As cybersecurity threats compound the risks of financial crime and fraud, institutions are crossing functional boundaries to enable collaborative resistance.