Manager, Quantitative Risk Management
$210,000–$240,000 year
RemoteUnited States
Job Summary
Lead a team of 3+ data scientists and governance professionals to own model risk, validation, and governance end to end. Set long-term strategy for performance monitoring, drift detection, fair lending assessments, and change management while managing the team's roadmap. Own customer relationships directly by running calls with model risk teams at banks and fintechs, unblocking deals, and guiding adoption. Prepare validation reports and governance documentation for internal leadership, customers, auditors, and regulators. Track findings through remediation and step in hands-on to drive execution when warranted. Balance governance rigor against speed to accelerate customer adoption while meeting regulatory standards.
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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