Manager, Risk Strategy

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 strategy for model governance, including what to automate, standardize, and improve beyond industry norms.
• Own governance-related relationships across Data Science, Engineering, Partner Success, and Sales.
• Manage direct customer relationships, including customer-facing calls with model risk teams at banks and fintechs.
• Guide customers in advancing 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.
• Balance strategic work with customer and regulatory demands.
• Contribute hands-on when needed to move work forward and mentor the team.

Requirements

• 8+ years of experience in model risk management, model validation, model governance, or quantitative risk.
• Proven experience building or scaling a governance or risk team.
• 4+ years of people management experience, including building and scaling model risk or governance teams.
• Deep knowledge of model governance for financial institutions, including SR 11-7, SR 26-2, OCC guidance, fair lending, and the regulatory landscape.
• Firsthand experience validating or governing machine learning or statistical models in a regulated environment.
• Ability to read models, interrogate methodologies, and collaborate effectively with data scientists.
• Working knowledge of Python and proficiency in SQL.
• Strong analytical skills using Excel or Google Sheets.
• Excellent written and verbal communication skills, with the ability to translate technical findings for technical and non-technical audiences.
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, or a related STEM field.
• Legally authorized to work in and reside in the United States.

Nice-to-haves

• Experience with fraud, identity verification, credit risk, or financial risk models.
• Experience supporting model governance at banks or other regulated financial institutions.
• Experience with AWS, including S3 and SageMaker.
• Experience with GitHub.
• Master's degree in a quantitative field.

Technologies

• Python 3
• PostgreSQL
• AWS infrastructure, including EC2, S3, RDS, and Redshift

Compensation and Benefits

• $210,000–$240,000 per year, plus equity and benefits.
• Employer-paid group health insurance for employees and 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.