Quantitative Model Analyst - Wholesale Modeling

• 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

• Master or Ph.D degree in a quantitative or related field (e.g., economics, finance, mathematics, statistics, engineering, computer science) or equivalent practical experience.
• 4 + years of experience in analytics, reporting, statistical analysis, or related quantitative work (financial services experience is a plus).
• Proficiency with at least one programming or analytics tool (e.g., Python, R, SAS, SQL) and ability to learn additional tools as needed.
• Clear written and verbal communication skills, including the ability to document work and summarize results.
• Comfort working with defined controls and review processes (e.g., peer review, documentation standards, and change management).
• Ability to manage multiple tasks, meet deadlines, and maintain quality in a fast-paced environment.
• Strong interpersonal skills and ability to work effectively with partners across risk, finance, validation, and technology.
• Ability to build strong relationships with a wide range of individuals from risk, finance, model validation, technology, and regulators
• Strong analytical and problem-solving skills, coupled with thoroughness and attention to detail
• Ability to prioritize work, meet deadlines, work under pressure and independently while balancing multiple priorities in a dynamic and complex environment
• Strong analytical, organizational, problem-solving, and project-management skills.
• Experience working with moderately large datasets and applying standard statistical techniques (e.g., regression, time series basics) is a plus.
• Familiarity with credit risk concepts (e.g., probability of default, loss given default) or exposure to model governance/validation processes is a plus.

Preferred Skills

• Comfort using Microsoft Excel and PowerPoint to summarize results and create clear exhibits.
• Experience writing clean, well-documented code in Python, R, SAS, or SQL.
• Basic automation or scripting exposure (e.g., simple batch jobs, scheduled tasks, or reusable notebooks) is a plus.
• Familiarity with SQL and relational databases for querying and validating data.
• Familiarity with basic version control concepts (e.g., using Git) is a plus.
• Exposure to cloud-based analytics environments (e.g., AWS or Azure) is helpful but not required.
• Interest in learning new analytics techniques and tools as the team evolves.
• Experience using standard Microsoft tools (Excel, PowerPoint, Word) to document and communicate analysis.
• Exposure to basic data visualization tools (e.g., Power BI or similar) is a plus.

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:

• 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

Review our full benefits available by employment status here .

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.