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U.S. Bank Quantitative Model Analyst in Charlotte, North Carolina

At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

Job DescriptionThe Strategic Model Development & Analytics Implementation & Monitoring team (“Strats I&M”) is a group within Corporate Treasury that oversees model implementation and monitoring for models covering multiple use cases (e.g., CCAR, interest rate risk, MVPE, NII forecasting). Strats I&M is seeking a strong decisive, results-oriented contributor who will be responsible for the implementation and on-going monitoring for a subset of complex econometric models. This role will work closely with model developers to understand aspects of a model’s design (e.g., techniques used, data cleansing procedures, assumptions/limitations, etc.) in order to successfully implement models in a production environment. Responsibilities also include documenting implementation procedures and generating reports used to communicate model results to senior management. An ideal candidate will have extensive programming experience in both SQL and R/Python (or other statistical software) and a sound understanding of statistical modeling techniques, including time series analysis. The workload for this role is dynamic and requires juggling multiple tasks simultaneously under tight deadlines.

Basic Qualifications - Bachelor's degree in a quantitative field, and four to six years of experience in statistical modeling OR - Master's degree in a quantitative field, and less than four years of experience in statistical modeling

Preferred Skills/Experience - Proficiency in R, Python, or other statistical modeling software - Experience with data warehousing, data structures and data quality assurance testing using SQL, or similar database language - Thorough knowledge of statistical modeling techniques, including regression analysis, time series analysis, and parametric and non-parametric algorithms - Strong mathematical, analytical, and problem solving skills - Excellent technical writing skills - Experience with model implementation, testing and controls - General knowledge of banking, finance and stress testing - Demonstrated ability to work efficiently and both independently and collaboratively - Strong project management skills - Excellent written and verbal communication skills - Experience with Essbase a plus

Benefits: Take care of yourself and your family with U.S. Bank employee benefits. We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve. That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.

Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting usbank.com/careers.

EEO is the Law Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.

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.

U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

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