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Job description template

Model Risk Manager

The Model Risk Manager provides independent oversight of the organization’s models, from traditional statistical models to machine learning and generative AI. This template reflects how the role is scoped at regulated enterprises hiring today. Replace the highlighted fields with your specifics, trim what doesn’t apply, and post.

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Role summary

[Company] is hiring a Model Risk Manager to lead independent model validation and oversight. Reporting to the [Chief Risk Officer / Head of Model Risk], you will validate models, maintain the model inventory, and ensure sound model risk management aligned to [SR 11-7 / internal MRM policy].

Key responsibilities

Required qualifications

Preferred qualifications

About the team

[Describe the model risk function, the model landscape, and how machine learning fits the current book of models.]

[Salary range. Postings with salary ranges perform significantly better on GRC Careers, and several states require them.]

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Frequently asked questions

What does a Model Risk Manager do?

The Model Risk Manager provides independent validation and oversight of models, extending traditional model risk management to machine learning and AI. Work includes the model inventory, independent validation, risk tiering, and ongoing monitoring.

What certifications does a Model Risk Manager need?

Typically 8 to 12 years, often in financial services, with certifications such as FRM, PRM, CFA, or CRISC.

What frameworks does a Model Risk Manager follow?

Common frameworks include SR 11-7, the NIST AI RMF, ISO/IEC 42001, and Basel guidance.