Quantitative Model Analyst 2

U.S. Bank • Charlotte, NC

1d • Onsite

About The Position

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 Quantitative Finance Implementation & Monitoring (QF 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). QF 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 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.

Requirements

• 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
• extensive programming experience in both SQL and Python (or other statistical software)
• a sound understanding of statistical modeling techniques, including time series analysis

Nice To Haves

• Proficiency in Python
• 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

Responsibilities

• implementation and on-going monitoring for a subset of complex econometric models
• 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
• documenting implementation procedures
• generating reports used to communicate model results to senior management

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level