Model Risk Manager (Fintech)

Location: San Francisco, CA; New York, NY; Portland, OR; or remote within Canada or the United States

Salary: $142,900–$160,700 USD for employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area; $128,600–$144,600 USD for other US locations; $135,000–$151,900 CAD for Canadian employees.

Company

Mercury is a financial technology and SaaS company building banking and financial services products through partner banks.

What you will do

• Build and operate a practical, risk-based Model Risk Management program as Mercury scales toward regulated-bank readiness.
• Perform independent validations and reviews of internal and third-party models across credit, fraud, BSA/AML, CECL, finance, liquidity, pricing, and operational risk.
• Evaluate methodologies, assumptions, data quality and lineage, implementation, performance, monitoring, and materiality through benchmarking, back-testing, sensitivity testing, and outcomes analysis.
• Maintain the model inventory, document findings and remediation, and produce reporting for management and governance committees.
• Review vendor models and analytical products, including transparency, limitations, monitoring, controls, and customization.
• Partner with Risk Ops, Data, Engineering, Product, Finance, Compliance, Internal Audit, and AI Governance teams, including support for regulatory examinations.

Requirements

• 5+ years of experience in model validation, model development, quantitative risk analytics, or a related discipline in banking, fintech, financial services, or consulting.
• Bachelor’s degree in Statistics, Mathematics, Physics, Computer Science, Engineering, Financial Engineering, or a related field; a Master’s degree or PhD is preferred.
• Strong knowledge of Model Risk Management principles and regulatory expectations, including revised interagency guidance reflected in SR 26-2.
• Experience validating or developing models using machine learning, scorecards, vendor models, or complex spreadsheet-based models.
• Proficiency with Python and SQL, strong quantitative analysis and documentation skills, and the ability to independently gather model evidence and data.
• Strong communication, judgment, attention to detail, and ability to challenge model owners constructively in a fast-changing environment.

Nice to have

• Experience building or materially enhancing a Model Risk Management program.
• Familiarity with bank regulatory examinations, charter readiness, or risk programs in a growing financial institution.
• Knowledge of Haskell.

Culture & Benefits

• Collaborative, hands-on environment focused on safe, responsible, and effective model use.
• Risk-based governance designed to be practical and proportionate rather than bureaucratic.
• Total rewards include base salary, equity through stock options or RSUs, and benefits.
• Mercury is committed to diversity, belonging, equal employment opportunity, and reasonable accommodations.