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$210,000 – $240,000
Listed on SentiLink’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a model risk and governance function at a fintech identity verification company, building and scaling a team of data scientists and compliance professionals who ensure the company's fraud detection models meet regulatory standards and customer expectations. This role combines strategic governance ownership with hands-on technical work, bridging the tension between rapid product development and institutional risk requirements.
Our summary, not SentiLink’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 8+ years in model risk management, model validation, model governance, or quantitative risk with team-building experience
- 4+ years managing and building model risk or governance teams
- Deep knowledge of SR 11-7, SR 26-2, OCC guidance, fair lending, and regulated ML/statistical model governance
- Technical depth to read models and interrogate methodology; working knowledge of Python and SQL proficiency
- Bachelor's degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Economics, or related STEM)
- Legally authorized to work in and reside in the US
Nice to have
- Experience with fraud, identity verification, credit risk, or financial risk models
- Experience supporting model governance at banks or regulated financial institutions
- AWS experience (S3, SageMaker) and GitHub
- Master's degree in a quantitative field