Quantitative Model Analyst - Wholesale Modeling

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 Job Description We are seeking a motivated individual contributor to support our Model Development & Decision Science (MDDS) team within Credit Risk Administration (CRA). This role will assist with the development, maintenance, and monitoring of expected loss forecasting models for our Commercial & Industrial portfolio in support of CECL, CCAR, and related internal risk management needs. About the CRA Team We are a collaborative team that supports the bank’s credit risk management through a focus on Customer, Process, Talent, and Data. About the Role In this role, you will support model development work for Commercial & Industrial credit risk by helping prepare data, run analyses, and document results. You will partner with teammates and stakeholders in credit portfolio risk management, finance, model validation, and audit by providing clear summaries, well-organized materials, and reproducible code. This position is well-suited for someone who enjoys quantitative problem solving and wants to grow in model development within a regulated environment. Key Activities · Model development: design model development plan including model design, model methodology, model selection, model testing, benchmarking, and documentation under guidance of senior model developers. · Data preparation and analysis: compile datasets, perform quality checks, and run standard exploratory analysis to support model development and monitoring. · Partner with business and risk partners to understand data definitions and document changes in portfolio attributes or reporting needs. · Monitoring and reporting: help prepare routine performance metrics and summaries; flag data or performance issues for follow-up. · Documentation support: assist with preparing exhibits, tables, and written summaries used in governance, validation, and regulatory-related materials. · Process improvement: identify opportunities to streamline data pulls, reporting, and repeatable analyses using existing tools and team guidance. You may collaborate with onshore and offshore partners to complete repeatable data and reporting tasks, following established procedures and quality checks. Core Competencies · Experience supporting quantitative analysis and basic predictive modeling; ability to explain results clearly to technical and non-technical partners. · Working knowledge of common analytics tools (e.g., Python/R/SAS, SQL) and comfort learning new systems and processes. · Strong attention to detail and ability to execute well-defined tasks in a controlled environment, with appropriate escalation when issues arise. · A collaborative, customer-focused mindset and willingness to learn credit risk concepts and governance expectations. 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 · 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 an