Quantitative Model Analyst

U.S. Bank•Cincinnati, OH

1d•Hybrid

About The Position

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. This role requires working from a U.S. Bank location three (3) or more days per week. The department supports consumer finance products such as vehicle loans and leases. Creates, validates, tests, documents, implements, and/or oversees usage of complex statistical models. The models may cover a variety of products or services, however, all models are used as part of the financial decision making process. Specific results focus on documenting the creation and/or testing of advanced statistical models and communicating such models to stakeholders within the Bank. Deliverables include the creation of 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.

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
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

Creates, validates, tests, documents, implements, and/or oversees usage of complex statistical models.
Documenting the creation and/or testing of advanced statistical models.
Communicating such models to stakeholders within the Bank.
Creation of 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
401(k) contribution and pension