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Position: Quantitative Financial Analyst
Institution: Moody's Analytics, Inc.
Location: San Francisco, California, United States
Duties: Review financial analytics requirements and work with Research and Product Management to develop testing plans and testing strategies; Design/Create test cases, execute tests, analyse testing results and present testing reports to the project team; Work closely with Financial and Software Engineering teams to ensure product quality and on-time delivery; Develop analytics prototype and benchmark for testing; Build, execute and maintain automation test suites, regression tests, and financial testing systems
Requirements: Advanced degree in a quantitative or software engineering field such as Financial Engineering, Operations Research, Computer Science, Management Information Systems, Statistics, or other closely-related fields; Academic training or experience in Financial Risk Models, Fixed Income Analysis, Balance Sheet Management; Superb analytical skills and persistence in problem solving, quantitative approach to understanding problems in finance; Data processing experience with large financial databases (SQL Server, Oracle) and data files in various formats such as csv, xml, json; Strong programming skill and experience (Python, C++, C#)
   
Text: Quantitative Financial Analyst Review financial analytics requirements and work with Research and Product Management to develop testing plans and testing strategies; Design/Create test cases, execute tests, analyse testing results and present testing reports to the project team; Work closely with Financial and Software Engineering teams to ensure product quality and on-time delivery; Develop analytics prototype and benchmark for testing; Build, execute and maintain automation test suites, regression tests, and financial testing systems Advanced degree in a quantitative or software engineering field such as Financial Engineering, Operations Research, Computer Science, Management Information Systems, Statistics, or other closely-related fields; Academic training or experience in Financial Risk Models, Fixed Income Analysis, Balance Sheet Management; Superb analytical skills and persistence in problem solving, quantitative approach to understanding problems in finance; Data processing experience with large financial databases (SQL Server, Oracle) and data files in various formats such as csv, xml, json; Strong programming skill and experience (Python, C++, C#)
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