Manager, Model Risk and Governance

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

📋 Description

• Lead, expand, and nurture 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 risk and governance function.

• Determine which processes to automate, what to standardize, and identify opportunities to surpass industry standards.

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

• Conduct customer-facing calls and collaborate directly with model risk teams at banks and fintech organizations.

• Assist clients in adopting solutions while adhering to governance standards, facilitating deals and deployments.

• Create validation reports, governance documents, and performance summaries for leadership, clients, auditors, and regulatory bodies.

• Monitor governance issues through remediation and oversee the team's roadmap.

• Engage in hands-on activities as necessary to advance projects or mentor team members.

⛳️ Requirements

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

• Demonstrated experience in building or scaling a governance/risk team.

• More than 4 years of experience in people management.

• In-depth understanding of model governance within financial institutions.

• Familiarity with SR 11-7, SR 26-2, OCC guidance, fair lending, and the regulatory landscape.

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

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

• Proficient in Python and skilled in SQL.

• Strong analytical abilities using Excel/Google Sheets.

• Exceptional written and verbal communication skills; able to convey 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 have legal authorization to work and reside in the US.

• Preferred: experience with fraud, identity verification, credit risk, or financial risk models.

• Preferred: experience in supporting model governance with banks or regulated financial institutions.

• Preferred: experience with AWS (S3, SageMaker) and GitHub.

• Preferred: Master’s degree in a quantitative field.

🏝️ Benefits

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

• 401(k) plan with employer matching (or equivalent for roles outside the US).

• Flexible paid time off.

• Regular company-wide in-person events.

• Home office stipend.