Remotery

Manager, Quantitative Risk Management

atSentiLinkRemoteUS flagUnited StatesFull-timeInsuranceSeniorLead$210k – $240k/year

Posted Aug 13

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

📋 Description

• Lead, develop, and grow a team of over 3 data scientists and governance experts.

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

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

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

• Oversee direct customer relationships, conduct customer-facing meetings, and collaborate with model risk teams at banks and fintechs.

• Assist customers in promoting adoption while adhering to governance standards.

• Create validation reports, governance documentation, and performance summaries for leadership, customers, auditors, and regulators.

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

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

• Develop and scale the model governance function in alignment with the company’s growth.


⛳️ Requirements

• Minimum of 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.

• At least 4 years of experience in people management.

• Proven track record of building and scaling model risk or governance teams.

• Extensive knowledge of model governance within financial institutions.

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

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

• Proficient in reading models, interrogating methodologies, and collaborating effectively with data scientists.

• Working knowledge of Python and strong proficiency in SQL.

• Excellent analytical skills, particularly using Excel/Google Sheets.

• Exceptional written and verbal communication abilities.

• 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 United States.

• 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 and GitHub.

• Nice to have: a master’s degree in a quantitative field.


🏝️ Benefits

• Equity.

• 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.

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