Model Risk Manager
Mercury · Finance · Senior · 1mo ago
$167k – $208k
per year
Open to candidates living in Canada, United States.
Direct from the employer's own careers page
Who can apply
Read straight from the listing, so you know before you spend time on it.
Open to candidates living in Canada, United States.
“San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States”
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As a Model Risk Manager, you will conduct independent reviews, technical validations, and constructive challenges across internally developed and third-party models supporting credit underwriting, fraud prevention, BSA/AML, CECL, finance, liquidity, and pricing. You will partner with Data, Engineering, Finance, and Compliance teams to maintain the model inventory, enhance risk governance, evaluate vendor tools, and support regulatory readiness as Mercury scales.
What you'll do
- Perform independent validations and reviews of internal and third-party models spanning credit, fraud, BSA/AML, CECL, liquidity, and pricing.
- Evaluate model methodologies, data lineage, assumptions, implementation, and performance using benchmarking, back-testing, and sensitivity testing.
- Provide credible challenges to model developers and owners while maintaining collaborative working relationships with first-line teams.
- Maintain the model inventory, tracking model ownership, risk ratings, dependencies, validation status, and ongoing monitoring plans.
- Assess vendor models and analytical tools regarding transparency, documentation, limitations, and control mechanisms.
- Draft comprehensive validation documentation, report model risk to management committees, and support bank regulatory examinations.
What you bring
- 5+ years of relevant experience in model validation, model development, or quantitative risk analytics within banking, fintech, or consulting.
- Bachelor’s degree in Statistics, Mathematics, Physics, Computer Science, Engineering, Financial Engineering, or a related field.
- Strong knowledge of model risk management principles and regulatory expectations such as SR 26-2.
- Proven experience validating or developing models in areas such as BSA/AML, fraud, financial forecasting, CECL, or credit underwriting.
- Proficiency with SQL and Python for data analytics and independent model evaluation.
About Mercury
Mercury is a financial technology company providing modern banking services for startups and growing businesses.
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