Quantitative Model Analyst 2
$92.82k - $109.2kRelha LLC
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 NOTE: This position is not eligible for current or future visa sponsorship. Creates, validates, tests, documents, implements, and/or oversees usage of complex statistical models. The models may cover a variety of products or services, however, all models are used as part of the financial decision making process. Specific results focus on documenting the creation and/or testing of advanced statistical models and communicating such models to stakeholders within the Bank. 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. Additional Description This position requires running daily MSR (Mortgage Servicing Rights) valuation and conducting attribution analysis on decay of MSR values. Running quarterly CCAR testing and generating reports. 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
- Three-years of experience of mortgage banking
- Good knowledge of MSR (Mortgage Servicing Rights) valuation and Polypaths operation
- Proficiency in Python script and PowerBI
- Master degree in Economics, Finance or Statistics
- Basic 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
- Basic data compilation, programming skills and qualitative analysis skills
- Basic knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
- Basic 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
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