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 full-time Quantitative Model Analyst (Multiple openings) in Charlotte, NC. The Quantitative Model Analyst develops mathematical and complex statistical models for use in sound management of the bank's portfolio as well as regulatory requirements. The models are used in the Treasury department to measure interest rate risk (IRR), valuation of market value of equity (MVE) analysis, net interest income (NII) analysis, Comprehensive Capital Analysis and Review (CCAR) regulatory exercise, and Business As Usual (BAU) activities. This role is responsible for developing models that adhere to internal development standards and templates for model governance, and to model risk policies and bank Supervision and Regulation Letters including SR 11-, SR 15-18, and SR 15-19. Specific duties include: (1) researching market and idiosyncratic drivers germane to the portfolio and intended use case; (2) creating model development and validation documentation including: presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures; (3) compiling and analyzing complex datasets using programming and quantitative analysis to support data-driven decision making; (4) developing quantitative financial strategies for business development; (5) compiling and analyzing complex datasets using programming and quantitative analysis to support data-driven decision making; (6) solving quantitative financial challenges through model research, development and validation; (7) implementing various regression techniques, parametric and non-parametric algorithms, times series techniques, model validation tests/methodologies, using SAS and Python; (8) implementing various regression and other financial modeling techniques, parametric and non-parametric algorithms, times series techniques, model validation tests/methodologies, using SAS and Python; and (9) communicating models and subsequent impacts to the Treasury department as well as business units outside of Treasury. Basic Qualifications: This position requires a Master's degree or equivalent in Financial Mathematics, or related quantitative field and 3 years of experience working with complex statistical models. In the alternative, will accept a Bachelor's degree or equivalent in Financial Mathematics, or related quantitative field and 5 years (progressive, post-baccalaureate) of experience working with complex statistical models. Required Skills/Experience:...us your resume. Salary: $200,000 - $240,000 per year A bit about us: From the outset, we've carved our path as a unique accounting firm. Our hallmark? Intriguing and multifaceted projects, a stellar team, competitive compensation and perks, a culture of collaboration...
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