Quantitative Model Analyst - Mortgage Modeling

## Quantitative Model Analyst 2

Apply:
Hopkins, MN:
Minneapolis, MN:
Saint Louis, MO:
Earth City, MO:
Full time:
Posted Today:
End Date:
November 17, 2026 (21 days left to apply):
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
** Performs all phases of large complex model development, validation, and performance management for various types of projects.  Projects may include data aggregation, model design, model selection, testing, documentation, validation, implementation, and execution. Incumbent should have a strong statistical modeling background based on technical training or advanced education in a quantitative field. May interact directly with senior managers requiring advanced levels of presentation and relationship building skills.

This position will also have occasional exposure to internal and external oversight. Incumbent is expected to progress to a subject matter expert in one or more areas.  Prefers a basic understanding of applicable laws, regulations, financial services, and regulatory trends that affect the mortgage industry. Position requires limited management direction.  
** Basic Qualifications**  - Bachelor’s degree in a quantitative field, and three or more years of relevant experience  OR  - MA/MS in a quantitative field, and less than three years of related experience  
** Preferred Skills/Experience**- Statistical modeling background based on technical training or advanced education in a quantitative field.

- Basic knowledge of various regression techniques (linear, logistic), parametric and non-parametric algorithms, times series techniques (ARIMA, GARCH), and other statistical models, various model validation tests/methodologies, using SAS, R, or similar statistical package.

- Experience with data compilation, programming skills and qualitative analysis skills such as Python, VBA, and C++.

- Basic knowledge of the Mortgage Industry.  Specifically, knowledge pertaining to mortgage servicing rights (MSR) valuation, market risk hedging, and current coupon/primary mortgage rate generation.  - Knowledge of quantitative and qualitative risk factors (duration, convexity), industry risks, competition risks, and risk management approaches.

-Experience modeling or analyzing mortgage prepayments and delinquencies.

- Basic understanding of applicable laws, regulations, financial services, and regulatory trends that affect the mortgage business.

- Strong project management skills.

- Demonstrated independence, teamwork, and leadership skills.

- Effective interpersonal, written, and verbal communication skills.

*** 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…