U.S. Bank Job - 31131959 | CareerArc
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Company: U.S. Bank
Location: Minneapolis, MN
Career Level: Associate
Industries: Banking, Insurance, Financial Services


U.S. Bank is seeking a quantitative analyst to model credit risk for retail portfolio exposures for stress testing, including Comprehensive Capital Analysis and Review (CCAR) and Current Expected Credit Losses (CECL). The candidate will ideally have experience and in-depth knowledge of credit loss modeling for residential mortgage/home equity portfolios such as default models, state transition models, loss-given-default (LGD) models, and familiarity with various vendor models.

In this role, you will contribute to the success of U.S. Bank's stress testing initiatives, including:

  • Perform data analysis, statistical model development, statistical testing, and model documentation of complex credit risk models
  • Partner with portfolio risk managers and business line representatives to develop and implement quantitative models
  • Apply 'best practice' model development techniques
  • Communicate modeling concepts and model assumptions with regulators, auditors, and independent model validation teams
  • Ensure quality deliverables while meeting or exceeding stated deadlines
  • Be proactive about improving processes and procedures


Basic Qualifications
- Bachelor's degree in a quantitative field, and five to eight years of experience in statistical modeling OR
- Master's or PhD degree in a quantitative field, and less than five years of experience in statistical modeling

Basic Skills and Experience:
  • Data analytics on large complex data sets and data warehouses
  • Advanced statistical model development and testing

  • Ability to build strong relationships with a wide range of individuals (e.g., portfolio risk management, finance/accounting, model validation, technology, and regulators)

  • Strong problem-solving skills coupled with thoroughness and attention to detail

  • Business analysis and requirements documentation

  • Strong oral and written communication skills

  • Programming in SAS, R, or Python

Preferred Knowledge and Experience:

  • Experience building, documenting, or validating regulatory credit risk capital models at a financial institution, consulting firm, or related regulatory agency (e.g., OCC or Federal Reserve)
  • Consumer credit risk modeling – knowledge of credit scores, LTV, debt-to-income ratio, delinquency status, charge-offs, etc.

  • Stress testing concepts and related regulatory guidance

  • Accounting rules related to charge-offs/recoveries and Allowance for Credit Loss regulations

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