Manager, Risk Strategy

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, expand, and cultivate a team of over 3 data scientists and governance experts.

• Take ownership of enhancing performance monitoring, drift monitoring, fair lending evaluations, governance documentation, validation, model inventory, and change management.

• Establish the long-term vision for the model governance function, focusing on automation and standardization priorities.

• Manage governance-related interactions across Data Science, Engineering, Partner Success, and Sales.

• Conduct customer-facing calls and oversee relationships with model risk teams at banks and fintech firms.

• Assist customers in the adoption process while adhering to governance standards and facilitate deal closures or deployments.

• Generate validation reports, governance documentation, and performance summaries for leadership, clients, auditors, and regulators.

• Monitor governance findings through the remediation process and oversee the team roadmap.

• Engage in hands-on governance tasks when necessary and provide mentorship to the team.

⛳️ Requirements

• Over 8 years of experience in model risk management, model validation, model governance, or quantitative risk.

• Demonstrated success in establishing or scaling a governance/risk team.

• At least 4 years of experience in people management.

• Proven track record in building and expanding model risk or governance teams.

• Extensive understanding of model governance for financial institutions, including SR 11-7, SR 26-2, OCC guidance, fair lending, and the regulatory landscape.

• Direct experience in validating or overseeing ML/statistical models in a regulated setting.

• Capability to interpret models, analyze methodologies, and collaborate effectively with data scientists.

• Proficient in Python.

• Strong skills in SQL.

• Excellent analytical abilities with Excel/Google Sheets.

• Outstanding written and verbal communication skills; capable of conveying technical findings to both technical and non-technical audiences.

• Bachelor’s degree in a quantitative discipline such as Math, Statistics, Computer Science, Engineering, Economics, or a related STEM field.

• Must possess legal authorization to work and reside in the US.

• Nice to have: experience in fraud, identity verification, credit risk, or financial risk models.

• Nice to have: experience in supporting model governance with banks or regulated financial institutions.

• Nice to have: familiarity with AWS (S3, SageMaker) and GitHub.

• A Master's degree in a quantitative field is preferred as a desirable qualification.

🏝️ Benefits

• Employer-covered group health insurance for you and your dependents.

• 401(k) plan with employer matching.

• Flexible paid time off.

• Regular company-wide in-person events.

• Home office stipend.

• Equity opportunities.

• Annual compensation ranging from $210,000 to $240,000.