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Quantitative Model Development Analyst - Credit Modeling

U.S. Bank · Chicago, IL · $98,175–$115,500 a year · Full time

Posted Sep 21, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time model validation or another reviewer challenged your work. How did you respond?

What they are checking: Whether they take challenge constructively and improve the model rather than getting defensive.

Describe a project where you had to work with credit risk, finance and reporting teams together.

What they are checking: Whether they can collaborate across the groups that use and depend on model outputs.

What would you do

Your model's results look reasonable overall but are way off for one property type. What do you do?

What they are checking: Whether they dig into segment-level issues instead of accepting a model that only works in aggregate.

How would you explain to a business leader why the model is forecasting higher losses this quarter?

What they are checking: Whether they can connect model outputs to drivers in plain language a leader can act on.

About the work

Walk me through how you would build a probability of default model for a Commercial Real Estate portfolio.

What they are checking: Whether they know the modeling steps, data issues and drivers specific to CRE credit risk.

How does expected loss modeling for CECL differ from loss forecasting for CCAR stress testing?

What they are checking: Whether they understand lifetime loss versus scenario-conditioned forecasts and why the purposes differ.

Which macroeconomic variables would you consider for a small business loss model, and how would you choose among them?

What they are checking: Whether they combine statistical testing with economic reasoning when selecting variables.

How do you handle limited default data in a portfolio like small business lending?

What they are checking: Whether they know practical approaches to sparse data, like pooling, proxies or overlays.

How would you document a model so it holds up to regulatory review?

What they are checking: Whether they know documentation must explain choices, limitations and testing clearly enough to defend.

What programming tools do you use for modeling, and how do you keep your code reproducible?

What they are checking: Whether they write clean, repeatable code that others can rerun and review.

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The full job description

As published by U.S. Bank.

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 We are seeking a motivated and detail-oriented Model Developer to join our Model Development & Decision Support (MDDS) team. In this role, you will support the development and implementation of expected loss forecasting models for Commercial Real Estate (CRE) and Small Business portfolios, ensuring compliance with CECL, CCAR, and other regulatory requirements. Job Description In this position, you will contribute to the development of credit risk models for Commercial Real Estate and Small Business portfolios, ensuring alignment with diverse financial and regulatory requirements. You will be responsible for maintaining consistency with the Bank’s risk management policies, procedures, and practices by collaborating with colleagues in credit portfolio risk management, corporate finance, external reporting, model validation, and audit services. You are expected to communicate statistical model functions and predictions to stakeholders to demonstrate effective risk management and compliance as well as to foster integrations of credit risk modeling into business as usual (BAU) activities. You will also support ongoing model performance monitoring, including backtesting review and investigation of unexpected results, as well as wholesale data development and maintenance. Key deliverables include comprehensive written model technical documents, oral and written presentations, as well as fluent programming skills. The ideal candidate is expected to have a good understanding of commercial portfolios and statistical methods, industry experience, excellent communication, and attention to detail as well as a strong background in predictive modeling. Basic Qualifications - Bachelor’s degree in a quantitative field, and five or more years of relevant experience OR - MA/MS in a quantitative field, and three or more years of related experience OR - PhD in a quantitative field, and less than two years of related experience Preferred Skills/Experience • Understanding of banking, financial metrics, and credit risk management • Knowledge of banking regulation and requirements for stress testing and credit reserves. • Effective verbal and written communication skills. • Programming experience in Python and SAS • Experience in building credit models for commercial exposures • Experience working with internal model validation and model risk management • Thorough data compilation, data quality review, and qualitative analysis skills • Strong analytical, organizational, problem-solving, negotiation, and project management skills • Ability to manage multiple tasks across various timelines • Demonstrated independence, teamwork and leadership skills • Code management and version control using Git • Experience with model performance monitoring LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week. 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: • 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: $98,175.00 - $115,500.00 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.

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