Job Title

At U.S. Bank, weu2019re 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 atu2014all from Day One. Job Description _NOTE: This position is not eligible for current or future visa sponsorship._ 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 banku2019s credit risk management through a focus on Customer, Process, Talent, and Data. Vision - We use data and analytics to improve credit risk decisions and support our customers. Mission - We deliver timely, accurate, and well-documented analytics that help protect stakeholders and inform key credit risk decisions. Values - We work with integrity, communicate clearly, collaborate well, and continuously learn. 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 u00b7 Model development: design model development plan including model design, model methodology, model selection, model testing, benchmarking, and documentation under guidance of senior model developers. u00b7 Data preparation and analysis: compile datasets, perform quality checks, and run standard exploratory analysis to support model development and monitoring. u00b7 Partner with business and risk partners to understand data definitions and document changes in portfolio attributes or reporting needs. u00b7 Monitoring and reporting: help prepare routine performance metrics and summaries; flag data or performance issues for follow-up. u00b7 Documentation support: assist with preparing exhibits, tables, and written summaries used in governance, validation, and regulatory-related materials. u00b7 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 u00b7 Experience supporting quantitative analysis and basic predictive modeling; ability to explain results clearly to technical and non-technical partners. u00b7 Working knowledge of common analytics tools (e.g., Python/R/SAS, SQL) and comfort learning new systems and processes. u00b7 Strong attention to detail and ability to execute well-defined tasks in a controlled environment, with appropriate escalation when issues arise. u00b7 A collaborative, customer-focused mindset and willingness to learn credit risk concepts and governance expectations. Basic Qualifications - Bacheloru2019s degree in a quantitative field, and 10 or more years of relevant experience OR - MA/MS in a quantitative field, and six or more years of related experience OR - PhD in a quantitative field, and five or more years of related experience Preferred Skills/Experience u00b7 Master or Ph.D degree in a quantitative or related field (e.g., economics, finance, mathematics, statistics, engineering, computer science) or equivalent practical experience. u00b7 5+ years of experience in analytics, reporting, statistical analysis, or related quantitative work (financial services experience is a plus). u00b7 Proficiency with at least one programming or analytics tool (e.g., Python, R, SAS, SQL) and ability to learn additional tools as needed. u00b7 Clear written and verbal communication skills, including the ability to document work and summarize results. u00b7 Comfort working with defined controls and review processes (e.g., peer review, documentation standards, and change management). u00b7 Ability to manage multiple tasks, meet deadlines, and maintain quality in a fast-paced environment. u00b7 Strong interpersonal skills and ability to work effectively with partners across risk, finance, validation, and technology. u00b7 Ability to build strong relationships with a wide range of individuals from risk, finance, model validation, technology, and regulators u00b7 Strong analytical and problem solving skills, coupled with thoroughness and attention to detail u00b7 Ability to prioritize work, meet deadlines, work under pressure and independently while balancing multiple priorities in a dynamic and complex environment u00b7 Strong analytical, organizational, problem-solving, and project-management skills. u00b7 Experience working with moderately large datasets and applying standard statistical techniques (e.g., regression, time series basics) is a plus. u00b7 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 u00b7 Comfort using Microsoft Excel and PowerPoint to summarize results and create clear exhibits. u00b7 Experience writing clean, well-documented code in Python, R, SAS, or SQL. u00b7 Basic automation or scripting exposure (e.g., simple batch jobs, scheduled tasks, or reusable notebooks) is a plus. u00b7 Familiarity with SQL and relational databases for querying and validating data. u00b7 Familiarity with basic version control concepts (e.g., using Git) is a plus. u00b7 Exposure to cloud-based analytics environments (e.g., AWS or Azure) is helpful but not required. u00b7 Interest in learning new analytics techniques and tools as the team evolves. u00b7 Experience using standard Microsoft tools (Excel, PowerPoint, Word) to document and communicate analysis. u00b7 Exposure to basic data visualization tools (e.g., Power BI or similar) is a plus. _LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week._ _NOTE: This position is not eligible for current or future visa sponsorship._ If thereu2019s 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 membersu2019 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. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program (. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $148,495.00 - $174,700.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.