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Quantitative Model Analyst - Loans Modeling

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: US Bank
Full Time position
Listed on 2026-10-23
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst, Financial Analyst
Job Description & How to Apply Below
Position: Quantitative Model Analyst 2 - Loans 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 Our team is seeking a strong, decisive, results-oriented quantitative analyst who will be responsible for building complex statistical models for PPNR forecasting in Corporate Treasury Quantitative Finance. The model-building process is holistic, and will include estimating, validating, testing, documenting, implementing, and maintaining macroeconomic forecasting model frameworks.

Corporate Treasury is a division within the CFO group where part of their responsibility is to provide executive management with accurate, timely, and comprehensive forecasts of the balance sheet, net interest income (NII), and Non-Interest Income Revenue.

Corporate Treasury’s Quantitative Finance group supports these efforts by developing quantitative models and methods that link the Bank’s balance sheet and income statement to the broader macroeconomic environment. These models may cover a variety of bank products and related functions. All models are used as part of Treasury’s financial decision-making process.

Deliverables include the creation of model development and/or validation documentation such as presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures. The role also involves communicating modeling approaches and results to stakeholders across the bank. 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
- Thorough knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using Python or similar statistical package
- Thorough data compilation, programming skills and qualitative analysis skills
- Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
- Advanced understanding 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
- Demonstrated independence, teamwork and leadership skills
- Effective interpersonal, verbal and written 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 optional term life insurance

Short-term and long-term disability

Pregnancy disability and parental leave
401(k) and employer-funded…
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