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. Validates, tests, documents, and oversees usage of complex statistical Treasury Risk and Pre-provision Net Revenue (PPNR) models. Regularly reviews model monitoring reports. The models may cover a variety of products or services, however, most models are used as part of the financial decision making process though regulatory stress testing. 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 validation documentation such as: presentations, written validation and annual review reports, and related code reviews, review and closure of issues and findings, etc.

Responsibilities

• Validates, tests, documents, and oversees usage of complex statistical Treasury Risk and Pre-provision Net Revenue (PPNR) models.
• Regularly reviews model monitoring reports.
• Documenting the creation and/or testing of advanced statistical models and communicating such models to stakeholders within the Bank.
• Creation of model validation documentation such as: presentations, written validation and annual review reports, and related code reviews, review and closure of issues and findings, etc.

Requirements

• Bachelor’s degree in a quantitative field, and five or more years of relevant experience OR MA/MS in a quantitative field, and three or more years of related experience OR PhD in a quantitative field, and less than two years of related experience
• Strong statistical modeling or model validation background based on technical training or advanced education in a quantitative field
• Strong knowledge of various regression techniques, times series techniques, parametric and non-parametric models, and other statistical models, various model validation tests/methodologies, using Python, R, SAS, or similar statistical package
• Strong data compilation, coding skills, qualitative analysis skills, and knowledge of SQL
• Advanced knowledge of quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
• Demonstrated independence, team work and leadership skills
• Strong project management skills
• Excellent written and verbal communication skills

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