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

U.S. Bank is seeking a quantitative model analyst to support initiatives in the area of the valuation and modeling of Mortgage Servicing Rights (MSRs). The analyst will contribute toward mortgage and valuation analytics, including model/assumption development, documentation, and monitoring. Specific areas of focus may include but are not limited to the modeling of: mortgage prepayments, mortgage delinquencies and foreclosures, interest rate modeling, term structure and stochastic valuation modeling. Work is performed independently following training. Responsibilities and opportunities within the department will grow with demonstrated success.

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

• Prior exposure to mortgage modeling activities such as prepayment models (e.g., ADCo), Discounted Cashflow models, NPV models, loss models, agency securitization, mortgage origination, and mortgage servicing analytics, delinquency models, short term and long term default probability models.

• Experience using PolyPaths MSR valuation software - Proficiency in programming, statistical analysis, and modeling software (such as: SAS, Matlab, Python, R, SQL, C#, JAVA, VBA) as well as Microsoft Office (Excel, Access, Word, and PowerPoint)

• Strong skills for process-automation and reverse engineering Excel/VBA models into more robust procedures using scripting, Python, and/or SQL Server.

• Intermediate knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using SAS or similar statistical package
• Intermediate knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
• Intermediate knowledge of applicable regulatory rules, guidance, or supervisory letters
• Ability to manage multiple tasks across various timelines
• Strong analytical, organizational, problem-solving, negotiation, and project management skills
• Effective interpersonal, verbal and written communication skills
• MA/MS degree preferred

NOTE: THIS ROLE OFFERS A HYBRID/FLEXIBLE SCHEDULE, WHICH MEANS THERE’S AN IN-OFFICE EXPECTATION OF 3 OR MORE DAYS PER WEEK AND THE FLEXIBILITY TO WORK OUTSIDE THE OFFICE LOCATION FOR THE OTHER DAYS.

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.

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 (some may vary based on role, location or hours):

• 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 la