Manager, Risk Strategy
$210,000–$240,000 year
RemoteUnited States
Job Summary
Lead a team of 3+ data scientists and governance professionals to own end-to-end model risk strategy, performance monitoring, drift detection, and fair lending assessments. Set long-term strategy for automation and standardization while managing relationships across Data Science, Engineering, Partner Success, and Sales. Own customer-facing calls with model risk teams at banks and fintechs, guide adoption while meeting governance standards, and prepare validation reports for internal leadership, customers, auditors, and regulators. Track findings through remediation and balance strategic work against regulatory demands. Do the work yourself when warranted to unblock deals or deployments.
Required Qualifications
- 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
- proven experience building and scaling model risk or governance teams
- Deep knowledge of model governance for financial institutions
- knowledge of SR 11-7
- knowledge of SR 26-2
- knowledge of OCC guidance
- knowledge of fair lending
- knowledge of the regulatory landscape
- firsthand experience validating or governing ML/statistical models in a regulated environment
- Genuine technical depth
- ability to read the model
- ability to interrogate the methodology
- ability to hold your own with data scientists
- Working knowledge of Python
- proficiency in SQL
- A strong bias for action
- Strong analytical skills (Excel/Google Sheets)
- excellent written/verbal communication
- comfortable translating technical findings for both technical and non-technical audiences
- Bachelor's degree in a quantitative field
- Math
- Statistics
- CS
- Engineering
- Economics
- related STEM
- Must be legally authorized to work in and reside in the US
Desired Qualifications
- Experience working with fraud, identity verification, credit risk, or financial risk models
- Experience supporting model governance with banks or regulated financial institutions
- Experience with AWS (S3, SageMaker) and GitHub
- Master's degree in a quantitative field
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