Model Risk Manager

Role overview Build and run a practical, risk based model risk management program as a financial services organization prepares for increased regulatory oversight. You will independently review internal and third party models, assess whether they remain suitable for their intended use, and partner with business and technical teams to strengthen controls without adding unnecessary process.

Responsibilities - Validate models used in areas such as credit, fraud, financial crime controls, accounting, finance, liquidity, pricing, and operations. - Examine model methodology, assumptions, data lineage and quality, implementation, and performance using appropriate benchmarking, back testing, outcomes, and sensitivity analysis. - Rate model materiality and risk; maintain an inventory covering owners, dependencies, limitations, validation status, monitoring, and open issues. - Review monitoring plans and results, including thresholds, overrides, data drift, and model changes; assess vendor analytical products and their limitations. - Document findings, recommend proportionate remediation, track issues, and establish controls when use begins before full validation. - Report model risk and validation coverage to management and governance groups; improve policies, procedures, templates, and automated monitoring and reporting. - Coordinate with data and AI governance teams, and support regulatory examinations and internal audit reviews.

Requirements - 5+ years in model validation, model development, quantitative risk analytics, or a related field in banking, fintech, financial services, or consulting. - Bachelor’s degree in a quantitative or technical discipline such as statistics, mathematics, physics, computer science, engineering, or financial engineering; graduate study is preferred. - Strong grasp of model risk management, relevant regulatory expectations, and quantitative review methods. - Able to assess technical work critically and explain conclusions clearly to developers, business teams, senior leaders, and regulators. - Careful documentation and analytical habits, sound judgment about materiality, and confidence to challenge model owners constructively. - High ownership and comfort setting priorities and building processes in a changing environment.

Nice to have Experience building or improving a model risk program, supporting regulatory examinations or bank readiness, or working with Haskell.

Benefits and work setup The package includes base pay, equity, and benefits. Target base salary is $142,900–$160,700 USD in New York City, Los Angeles, Seattle, and the San Francisco Bay Area; $128,600–$144,600 USD elsewhere in the U.S.; and $135,000–$151,900 CAD in Canada.