Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock ...

Risk.net’s 2026 study sees record participation and collective unease, as banks race to incorporate AI into op risk ...

Financial institutions are in the business of risk management and reallocation, and they have developed sophisticated risk management systems to carry out these tasks. The basic components of a risk ...

Operational risk management encompasses the identification, assessment, monitoring and mitigation of losses arising from inadequate or failed internal processes, people, systems or external events.

Atkar: Not necessarily on operational risk. For instance, the recent Basel paper on the treatment of insurance to mitigate operational risks proposes arguably a more complicated approach than ...

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 ...

Transit Agencies Face a Growing Capital Funding Crisis Public transit agencies across the United States are operating in an ...

Global advisory firm Celent has named the financial institutions demonstrating excellence in technology use across banking, buy side/sell side, insurance, risk management, and wealth management.

The gap between AI and traditional risk modelling is substantial. Traditional models often fall short when dealing with complex, non-linear relationships. In contrast, AI models thrive in detecting ...

Artificial intelligence has become the new language of corporate ambition. CEOs speak about it as a productivity engine.

UK banks face new systemic cyber risks as AI accelerates vulnerability discovery.