Machine Learning and Model Risk Management reviews the risks and challenges of using machine learning in lending. Current best practices in explainability and validation are discussed.

Impacts of COVID-19 on Model Risk Management collects expert insights on how COVID-19 has impacted financial services, best practices for model monitoring and overlays, and how pandemic-era data will be used in future modeling and validation.

Right Sizing Model Risk Management for Financial Institutions Between $10-50 Billion creates best practices guidelines for how to scale model risk management practices to smaller institutions, including vendor model validation, model inventory assessment, model risk governance, and more.