As a Senior Quantitative Analyst, you'll actively use data science skills and tools, such as Python and SQL programming, Azure DevOps, and Databricks to assist the Enterprise Modeling Team (EMT) in the development, implementation, and monitoring of models used for CECL, CCAR, and other uses. In the role, you will ensure the data quality, consistency, and accuracy of datasets used in modeling, implement models in EMT’s Azure DevOps platform, support the model ongoing monitoring process, and conduct ad hoc data analysis as needed. Experience with SSIS, Stored Procedures and Ctrl M would be beneficial. To succeed in the role, candidates should be detailed-oriented as the team’s models are subject to heavy regulatory scrutiny. Candidates should be able to work independently, and across teams. In addition, the candidate should also be able to effectively communicate – both verbally and in writing. Design and implement complex logic using SQL and/or Python when given business requirements for data validations, model production, and ongoing model monitoring. Explore data required for models to provide knowledge and expertise to assist in data documentation, data validation and data management (i.e., basic data 101 skills) Assist with execution of the User Acceptance Testing process, including creation of acceptance criteria, development of test procedures, test execution, and test result archiving for internal system modifications and third-party deliverables. Manage details of change management procedures across different platforms as needed. Develop reports and model output using MS Power BI and distribute to internal customers. Provide documentation on our Confluence platform to the team and to users across the enterprise. Assist IT with the management of Azure Dev Ops Server environment (manage PII data exposure, new user training, manage file storage capacity, etc.) and offer support to company-wide initiatives and IT projects when requested.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees