On April 17, 2026, the Federal Reserve Board, the Office of the Comptroller of the Currency (OCC), and the Federal Deposit Insurance ...

Consider a generative AI-powered solution that reduces the time required to test a control from 20 hours to just five. For ...

Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...

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 ...

Bhavya Bhandari highlights the shift from static, assessment-driven GRC to integrated, real-time risk visibility and smarter ...

Risk-management practices at financial institutions have undergone a quantitative revolution over the past decade or so. Increasingly, financial firms rely on statistical models to measure and manage ...

In the dynamic landscape of decentralized finance (DeFi), risk management is the bedrock upon which sustainable lending protocols are built. The challenge lies in finding the delicate balance between ...

As artificial intelligence and regulatory change drive rapid growth in model inventories across banks, model risk management is entering a new phase. Institutions must strengthen governance, improve ...

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