Quantitative Model Analyst - Wholesale Modeling

U.S. Bank • Minneapolis, NY

7d • Hybrid

About The Position

U.S. Bank is seeking a motivated individual contributor to support the Model Development & Decision Science (MDDS) team within Credit Risk Administration (CRA). The role assists with developing, maintaining, and monitoring expected loss forecasting models for the Commercial & Industrial portfolio in support of CECL, CCAR, and internal risk management needs.

The analyst supports model development by preparing data, conducting analyses, and documenting results. The role partners with stakeholders in credit portfolio risk management, finance, model validation, and audit, providing clear summaries, organized materials, and reproducible code. It is suited to someone interested in quantitative problem-solving and growing in model development in a regulated environment.

The position requires working from a U.S. Bank location three or more days per week. The posted salary range is $132,260 to $155,600; actual pay may vary by location.

Requirements

• Bachelor’s degree in a quantitative field and at least eight years of relevant experience; or a master’s degree in a quantitative field and at least five years of related experience; or a Ph.D. in a quantitative field and at least four years of related experience.
• Experience supporting quantitative analysis and basic predictive modeling, with the ability to explain results clearly to technical and non-technical partners.
• Working knowledge of common analytics tools such as Python, R, SAS, or SQL, and comfort learning new systems and processes.
• Strong attention to detail and ability to carry out well-defined tasks in a controlled environment, with appropriate escalation when issues arise.
• Collaborative, customer-focused approach and willingness to learn credit risk concepts and governance expectations.
• Clear written and verbal communication skills, including the ability to document work and summarize results.
• Comfort working with defined controls and review processes, such as 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.
• Strong analytical, organizational, problem-solving, and project-management skills, with the ability to prioritize and work independently under pressure in a dynamic environment.
• Ability to build relationships with individuals from risk, finance, model validation, technology, and regulatory groups.

Nice To Haves

• Master’s or Ph.D. degree in a quantitative or related field, such as economics, finance, mathematics, statistics, engineering, or computer science, or equivalent practical experience.
• Four or more years of experience in analytics, reporting, statistical analysis, or related quantitative work; financial services experience is a plus.
• Experience with moderately large datasets and standard statistical techniques, such as regression and basic time series analysis.
• Familiarity with credit risk concepts, such as probability of default and loss given default, or exposure to model governance and validation processes.
• 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 experience, such as simple batch jobs, scheduled tasks, or reusable notebooks.
• Familiarity with SQL and relational databases for querying and validating data.
• Familiarity with basic version control concepts, such as using Git.
• Exposure to cloud-based analytics environments, such as AWS or Azure.
• Interest in learning new analytics techniques and tools as the team evolves.
• Experience using Microsoft Excel, PowerPoint, and Word to document and communicate analysis.
• Exposure to basic data visualization tools, such as Power BI or similar.

Responsibilities

• Support model development planning, including model design, methodology, selection, testing, benchmarking, and documentation under the guidance of senior model developers.
• Compile datasets, perform data quality checks, and conduct standard exploratory analyses to support model development and monitoring.
• Work with business and risk partners to understand data definitions and document changes in portfolio attributes or reporting needs.
• Help prepare routine model performance metrics and summaries, and flag data or performance issues for follow-up.
• Assist with preparing exhibits, tables, and written summaries for governance, validation, and regulatory-related materials.
• Identify opportunities to streamline data pulls, reporting, and repeatable analyses using existing tools and team guidance.
• Collaborate with onshore and offshore partners on repeatable data and reporting tasks, following established procedures and quality checks.

Benefits

• Healthcare coverage, including medical, dental, and vision
• Basic term and optional term life insurance
• Short-term and long-term disability insurance
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation of 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 hours worked, up to 80 hours per calendar year unless otherwise provided by law
• Incentive and recognition programs
• Equity stock purchase
• Pension

What This Job Offers

• Job Type: Full-time
• Career Level: Senior