Quantitative Model Analyst 4

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.

Job Description

U.S. Bank is seeking a forward-thinking quantitative analyst to drive innovation in credit risk modeling for retail portfolios (e.g., residential mortgage, home equity, credit cards, and auto) supporting stress testing (CCAR) and expected credit loss (CECL/Allowance) initiatives.

In this role, you will:

·       Develop and implement advanced statistical and machine learning methods to forecast defaults, prepayments, loss-given-default (LGD), and exposure-at-default (EAD).

·       Analyze large and complex datasets, collaborating with cross-functional teams throughout the model development lifecycle to inform strategic decisions.

·       Clearly communicate technical findings and model insights to independent validators, auditors, and regulators.

·       Prepare high-quality documentation and implementation materials, ensuring timely delivery and regulatory compliance.

·       Continuously enhance processes and adopt best practices in model development and deployment.

Basic Qualifications
- Bachelor’s degree in a quantitative field, and eight or more years of relevant experience
OR
- MA/MS in a quantitative field, and five or more years of related experience
OR
- PhD in a quantitative field, and four or more years of related experience

Preferred Skills/Experience

·       MA/MS or PhD in Statistics, Economics, Finance, Mathematics, or a related quantitative discipline.

·       Proficiency in machine learning and statistical modeling, including regression analysis, time-series forecasting, and both parametric and non-parametric algorithms.

·       Strong data engineering and coding skills in Python, SAS, or similar statistical programming environments.

·       Deep understanding of quantitative and qualitative credit risk factors, industry trends, and risk management strategies.

·       Exceptional analytical, problem solving, and project management abilities.

·       Demonstrated independence, leadership, and collaboration in team settings.

·       Excellent verbal and written communication skills.

NOTE:  This role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits: 

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

• 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