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| Job Location | Mumbai City |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Banking / Financial Services |
| Functional Area | Operations Management / Process Analysis |
| EmploymentType | Full-time |
*Position DescriptionMorgan Stanley is seeking a highly qualified candidate to join the Wealth Management Analytics team. The ideal candidate will demonstrate strong analytical skills as well as the ability to work within a team environment and manage to tight deadlines. Primary job responsibilities include: Perform ongoing credit loss calculations for Wealth Management lending products under CCAR, ACL / ALLL, and Basel Capital. Perform portfolio-level data analytics of various Wealth Management retail & wholesale lending products (e.g., Residential Mortgages, Securities Based Lending, Commercial Real Estate, etc.). Work alongside members of the WM Analytics team in New York to conduct business analytics and variance analysis for Wealth Management. Execute statistical regression models in order to assess the credit worthiness of Wealth Management client exposures. Produce and maintain model documentation and procedures, and create management reporting and other presentations., *Qualifications Master s degree required (MBA, Masters in Finance or Economics) Maximum 3 years of relevant experience in the financial industry; previous experience in risk management and/or knowledge of retail banking products is a plus (Fresher s can apply) Strong analytical skills; experience in working portfolio Stress Testing or Excepted Credit losses would be a plus Proficiency in MS Excel, MS Access Database skills. Also, previous experience in data analytics of large data sets and a coding background are a plus (e.g., SQL, VBA, Tableau). Strong organizational skills, process management and time management skills. Strong oral and written communication, including the ability to communicate effectively across regional teams. Self-motivated and proactive attitude, with relentless attention to detail and an inquisitive nature. Excellent team player with the ability to work harmoniously and flexibly with a diverse workforce.
Keyskills :
commercial real estatestrong analytical skillsms accessdata analyticsretail bankingstress testingrisk managementtime managementbanking productswealth managementanalytical skillsvariance analysis