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Model Risk Manager

Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States · Remote

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About Mercury

Everything you do with money. All in one place. Apply in 10 minutes for business banking that transforms how you operate. Backed by Sequoia, a16z and 500 Global.

About the role

Mercury is looking for a Model Risk Manager to help build and operate a practical, risk-based Model Risk Management program as we continue to scale and prepare for life as a regulated bank. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 5+ years of relevant experience in model validation, model development, quantitative risk analytics, or a related discipline within banking, fintech, financial services, or consulting
  • Bachelor’s degree in Statistics, Mathematics, Physics, Computer Science, Engineering, Financial Engineering or a related field. Master’s degree or PhD is preferred
  • Strong knowledge of model risk management principles and current regulatory expectations, including the revised interagency guidance reflected in SR 26-2
  • Proficiency with SQL and Python (from a data analytics lens), comfortable building understanding of models independently of their developers through collecting evidence and data analytics
  • Exceptional attention to detail across documentation, code base, testing artifacts and quantitative analysis provided by 1LOD
  • Sound judgment and a practical, risk-based mindset: you can distinguish significant model risk from lower-risk matters and have the confidence to challenge model owners constructively, including senior stakeholders
More about this role

Mercury is looking for a Model Risk Manager to help build and operate a practical, risk-based Model Risk Management program as we continue to scale and prepare for life as a regulated bank.

Models support an increasingly broad range of decisions across Mercury, including credit underwriting, portfolio management, fraud prevention, BSA/AML, CECL, finance, liquidity, pricing, and operational processes. This role will provide independent review and effective challenge throughout the model lifecycle while helping Mercury apply governance proportionate to the actual risk of each model.

This is a hands-on role for someone who can move comfortably between technical analysis, regulatory expectations, and business context. You will conduct model validations, challenge assumptions and limitations, improve our model inventory and monitoring practices, and work closely with teams across Risk Ops, Data, Engineering, Product, Finance, Compliance, and Internal Audit.

Showing up as a true collaborator, advisor and partner to the business will be key as we continue to build out this function and work towards our collective goals at Mercury. You should be comfortable operating in a fast-moving...

Read the full posting on Mercury's site ↗

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