CAIA's Career Center is an easy-to-use, comprehensive resource connecting job seekers with employers in the growing AI field. Use your knowledge and credibility to advance your career or build a talented team for your organization. Opportunities targeted to CAIA Charterholders are prioritized.
In order to search for jobs specifically for CAIA Charterholders or those pursuing the CAIA Charter please enter “CAIA” in the search panel.
This will enable you to search for CAIA specific roles globally.
Job Description As a Quantitative Financial Analyst, you will analyse and assure the quality of financial statistics produced by our leading-edge credit risk measurement and asset liability management products. This is an opportunity to help develop the latest breed of financial applications based on world-class financial research.
Specific responsibilities include:
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
Build, execute and maintain automation test suites, regression tests, and financial testing systems
Develop analytics prototype and benchmark for testing.
Provide 2nd tier support on modelling questions to clients.
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#).
Strong skills in R or other statistical packages.
Ability to work independently on multiple tasks as well as a good team player.
Detail-oriented, results-driven, and well organized.
Demonstrated creativity, flexibility, enthusiasm and willingness to learn and ensure ongoing self-development.
Excellent verbal and written communications skills in English.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.