Manager, Model Risk and Governance
S
SentiLinkData Science, Fintech
This is a remote, US-based role.Full-TimeManager
Salary$210,000-$240,000/year + equity + benefits
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Job Details
- Experience
- 8+ years in model risk management, model validation, model governance, or quantitative risk; 4+ years of people management experience
- Required Skills
- PythonSQLMachine Learning
Requirements
- 8+ years experience in model risk management, model validation, model governance, or quantitative risk.
- 4+ years of people management experience, specifically building or scaling teams.
- Deep knowledge of financial industry model governance, including SR 11-7, SR 26-2, OCC guidance, and fair lending.
- Proven experience validating or governing ML/statistical models in a regulated environment.
- Working knowledge of Python and proficiency in SQL.
- Bachelor's degree in a quantitative field such as Math, Statistics, CS, Engineering, or Economics.
- Strong analytical skills and ability to translate technical findings for non-technical audiences.
- Strong bias for action and ability to balance governance rigor against speed.
Responsibilities
- Lead, grow, and develop a team of 3+ data scientists and governance professionals.
- Own performance monitoring, drift monitoring, fair lending assessments, and model inventory.
- Set the strategy for model governance, including automation and standardization initiatives.
- Manage relationships across Data Science, Engineering, Partner Success, and Sales.
- Engage directly with customer model risk teams at banks and fintechs to facilitate model adoption.
- Prepare validation reports and governance documentation for leadership, customers, and regulators.
- Track governance findings through remediation and manage the team's roadmap.
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