Manager, Model Risk and Governance
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Job Description
Model risk manager governing fraud-detection models for SentiLink, an identity verification company. Leading governance strategy, customer relationships, regulatory validation, and a growing risk team.
Responsibilities:
- Lead, grow, and develop a team of 3+ data scientists and governance professionals
- Own and improve performance monitoring, drift monitoring, fair lending assessments, governance documentation, validation, model inventory, and change management
- Set the long-term strategy for the model risk and governance function
- Decide what to automate, what to standardize, and where to exceed industry norms
- Own governance-related relationships across Data Science, Engineering, Partner Success, and Sales
- Run customer-facing calls and work directly with model risk teams at banks and fintechs
- Guide customers on adoption while meeting governance standards, unblocking deals and deployments
- Prepare validation reports, governance documentation, and performance summaries for leadership, customers, auditors, and regulators
- Track governance findings through remediation and manage the team roadmap
- Perform hands-on work when needed to advance initiatives or mentor the team
Requirements:
- 8+ years in model risk management, model validation, model governance, or quantitative risk
- Proven experience building or scaling a governance/risk team
- 4+ years of people management experience
- Deep knowledge of model governance for financial institutions
- Knowledge of SR 11-7, SR 26-2, OCC guidance, fair lending, and the regulatory landscape
- Firsthand experience validating or governing ML/statistical models in a regulated environment
- Ability to read models, interrogate methodology, and work effectively with data scientists
- Working knowledge of Python and proficiency in SQL
- Strong analytical skills using Excel/Google Sheets
- Excellent written and verbal communication skills; able to translate technical findings for technical and non-technical audiences
- Bachelor's degree in a quantitative field such as Math, Statistics, CS, Engineering, Economics, or related STEM
- Must be legally authorized to work in and reside in the US
- Nice to have: experience with fraud, identity verification, credit risk, or financial risk models
- Nice to have: experience supporting model governance with banks or regulated financial institutions
- Nice to have: experience with AWS (S3, SageMaker) and GitHub
- Nice to have: Master's degree in a quantitative field
Benefits:
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend
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