Quantitative Model Analyst

U.S. BankCincinnati, OH
Hybrid

About The Position

At U.S. Bank, we are committed to helping customers and businesses make better financial decisions and enabling communities to grow. This role is part of that journey, offering opportunities for professional growth and skill development from day one. The position requires working from a U.S. Bank location three or more days per week. The department focuses on consumer finance products, including vehicle loans and leases. The core responsibility involves creating, validating, testing, documenting, implementing, and overseeing the usage of complex statistical models. These models are integral to the financial decision-making process across various products and services. Key deliverables include comprehensive model development and validation documentation, such as presentations, written reports, model or reporting code documentation, business requirements, monitoring reports, and related procedures. The role also emphasizes communicating these models effectively to stakeholders within the Bank.

Requirements

  • Bachelor’s degree in a quantitative field, and 10 or more years of relevant experience OR MA/MS in a quantitative field, and six or more years of related experience OR PhD in a quantitative field, and five or more years of related experience
  • Advanced knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using SAS or similar statistical package
  • Thorough data compilation, programming skills and qualitative analysis skills
  • Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
  • Advanced understanding of applicable regulatory rules, guidance, or supervisory letters
  • Ability to manage multiple tasks across various timelines
  • Strong analytical, organizational, problem-solving, negotiation, and project management skills
  • Demonstrated independence, teamwork and leadership skills
  • Effective interpersonal, verbal and written communication skills

Nice To Haves

  • Experience using SAS, SQL, Python, and Excel for quantitative analysis and modeling
  • Ability to partner cross‑functionally and communicate analytical insights clearly in verbal and written formats
  • Understanding of business operations and risk processes, with the ability to translate business challenges into quantitative solutions
  • Experience with objective problem solving, including accept/reject modeling and rigorous analytical validation

Responsibilities

  • Create complex statistical models
  • Validate complex statistical models
  • Test complex statistical models
  • Document complex statistical models
  • Implement complex statistical models
  • Oversee usage of complex statistical models
  • Communicate advanced statistical models to stakeholders within the Bank
  • Create model development and/or validation documentation such as presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures

Benefits

  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • 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 worked, up to 80 hours per calendar year unless otherwise provided by law
  • Incentive and recognition programs
  • Equity stock purchase
  • Pension
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