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
- Model validation. Perform independent validation of models, covering conceptual soundness, data, and performance.
- Model inventory. Maintain the enterprise model inventory and risk tiering, including AI and machine learning models.
- Ongoing monitoring. Define and review ongoing performance monitoring, including drift and stability.
- Governance. Maintain model risk policy, standards, and the model lifecycle governance process.
- Documentation. Review model documentation and challenge assumptions and limitations.
- Reporting. Report model risk to the [Model Risk Committee / Risk Committee].
- Regulatory. Support regulatory exams and respond to findings.
Required qualifications
- [5 to 10] years in model risk, quantitative analytics, data science, or validation.
- Strong quantitative background and an understanding of machine learning methods.
- Familiarity with model risk management expectations such as SR 11-7.
- Ability to write and review rigorous validation documentation.
Preferred qualifications
- Advanced degree in a quantitative field.
- Experience validating machine learning or generative AI models.
- Experience in a regulated industry such as [financial services / insurance / banking].
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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