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.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees