This is a hybrid role in Raleigh, NC with the expectation of working in the office. The main office location is the DAC. We are seeking a highly skilled and motivated candidate to join our Modeling and Analytics team. This Quantitative Modeling Analyst is responsible for developing, maintaining, and enhancing quantitative models at the bank with current focus on credit risk models (CECL & CCAR). The position also requires close collaboration with data, credit, product management and risk teams to enhance model effectiveness and business decision-making. The first project will focus on the implementation of the CECL models on the production platform that requires: Coding (Python): write model implementation code and test cases in the sandbox environment and working with the production platform team to implement the code in the production platform. SQL: query the data for testing, and other analyses Excel: perform supporting analyses and summarize modeling results. Critical thinking and problem-solving: support the creation of an effective data schema and a robust & scalable production code. Future projects could include other models like economic capital or loan pricing. Finally, the position offers the opportunity to be part of a team of modeling experts with graduate degrees in mathematics, finance, economics, and data science; and experiences from top-tiers market research firms, academic institutions, and management consulting companies.
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Job Type
Full-time
Career Level
Entry Level
Industry
Credit Intermediation and Related Activities
Number of Employees
5,001-10,000 employees