Quantitative Model Development Analyst - Credit Modeling

U.S. Bank•Minneapolis, MN
•$98,175 - $115,500•Hybrid

About The Position

U.S. Bank is seeking a motivated, detail-oriented Model Developer for its Model Development & Decision Support (MDDS) team. The role supports development and implementation of expected loss forecasting models for Commercial Real Estate (CRE) and Small Business portfolios, in compliance with CECL, CCAR, and other regulatory requirements. The analyst contributes to credit risk model development while maintaining consistency with the Bank’s risk management policies, procedures, and practices. The position involves collaboration with credit portfolio risk management, corporate finance, external reporting, model validation, and audit services. The analyst communicates statistical model functions and predictions to stakeholders and helps integrate credit risk modeling into business-as-usual activities. The role also supports ongoing model performance monitoring, including backtesting reviews and investigation of unexpected results, as well as wholesale data development and maintenance. Key deliverables include written model technical documentation, oral and written presentations, and programming work. The position requires working from a U.S. Bank location three or more days per week.

Requirements

  • Bachelor’s degree in a quantitative field and five or more years of relevant experience; or a master’s degree in a quantitative field and three or more years of related experience; or a Ph.D. in a quantitative field and less than two years of related experience.
  • Understanding of banking, financial metrics, and credit risk management.
  • Knowledge of banking regulation and requirements for stress testing and credit reserves.
  • Effective verbal and written communication skills.
  • Programming experience in Python and SAS.
  • Thorough data compilation, data quality review, and qualitative analysis skills.
  • Strong analytical, organizational, problem-solving, negotiation, and project management skills.
  • Ability to manage multiple tasks across various timelines.
  • Demonstrated independence, teamwork, and leadership skills.

Nice To Haves

  • Experience building credit models for commercial exposures.
  • Experience working with internal model validation and model risk management.
  • Code management and version control experience using Git.
  • Experience with model performance monitoring.

Responsibilities

  • Support the development and implementation of expected loss forecasting models for Commercial Real Estate and Small Business portfolios.
  • Develop credit risk models in alignment with financial and regulatory requirements, including CECL and CCAR.
  • Maintain consistency with the Bank’s risk management policies, procedures, and practices.
  • Collaborate with credit portfolio risk management, corporate finance, external reporting, model validation, and audit services.
  • Communicate statistical model functions and predictions to stakeholders to demonstrate risk management and compliance and foster integration of credit risk modeling into business-as-usual activities.
  • Support model performance monitoring, including backtesting reviews and investigation of unexpected results.
  • Support wholesale data development and maintenance.
  • Prepare written model technical documents and oral and written presentations.
  • Work from a U.S. Bank location three or more days per week.

Benefits

  • Medical, dental, and vision healthcare coverage.
  • Basic term and optional term life insurance.
  • Short-term and long-term disability coverage.
  • Pregnancy disability and parental leave.
  • 401(k) and employer-funded retirement plan.
  • Paid vacation, from two to five weeks depending on salary grade and tenure.
  • Up to 11 paid holiday opportunities.
  • Adoption assistance.
  • Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
  • Incentive and recognition programs.
  • Equity stock purchase.
  • Pension, subject to eligibility requirements.
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