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Frequently Asked Questions
What is model risk management?
Model risk management (MRM) is a framework for identifying and managing risks arising from the use of quantitative models — including AI and ML models — in business decisions. It is required by banking regulators worldwide (notably the Federal Reserve SR 11-7 guidance in the US).
What qualifications are needed for model risk management roles?
MRM roles typically require advanced degrees in quantitative fields (statistics, mathematics, financial engineering, or computer science), strong programming skills (Python, R), and knowledge of model validation techniques, statistical testing, and financial regulation.
Where do model risk management professionals work?
Model risk roles are concentrated in regulated industries: banks, insurance companies, asset managers, and fintech firms. Large institutions maintain dedicated MRM teams. Consulting firms and regulators also employ MRM professionals.
