U.S. Bank Job - 31791048 | CareerArc
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Company: U.S. Bank
Location: Minneapolis, MN
Career Level: Associate
Industries: Banking, Insurance, Financial Services

Description

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 such as default models, state transition models, loss-given-default (LGD) models, and familiarity with various vendor models.


This role will be part of a highly visible and dynamic quantitative risk function within U.S. Bank that leads credit loss forecasting. In this role, you will contribute to the success of U.S. Bank's credit loss forecasting initiatives, including:
  • Lead data analysis, statistical model development, statistical testing, and model documentation of complex credit risk models
  • Lead with portfolio risk managers and business line representatives to develop and implement quantitative models
  • Apply 'best practice' model development techniques
  • Provides direction and oversight to ensure quality deliverables while meeting or exceeding stated deadlines
  • Communicate modeling concepts and model assumptions with regulators, auditors, and independent model validation teams
  • Be proactive about improving processes and procedures


Qualifications

Basic Qualifications
  • Bachelor's degree in a quantitative field, and 10 or more years of experience in statistical modeling OR
  • Master's or PhD degree in a quantitative field, and six or more years of experience in statistical modeling

Preferred Skills/Experience:


  • Advanced statistical model development and testing
  • Data analytics on large complex data sets and data warehouses
  • Ability to build strong relationships with a wide range of individuals (e.g., portfolio risk management, finance/accounting, model validation, technology, and regulators)
  • Strong analytical and 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
  • 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 consumer credit risk modeling terms and techniques
  • Knowledge of stress testing (CCAR) and credit allowance forecasting (CECL) concepts and related regulatory guidance
  • Experience working with internal model validation and model risk management





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