Data Analytics & Reporting, 1L Financial Crimes Risk, Associate, Wealth Management
Morgan Stanley (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 12–22 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and build first line Financial Crimes Risk supervisory framework and control structures for Wealth Management, Bank, and Investment Management businesses.
- Aggregate, analyze, and report on key financial crimes risk factors including data management of datasets larger than four million records, and build automated scalable reporting tools.
- Manage projects and collaborate with multiple stakeholders to drive financial crimes risk program enhancements, including integrating AI to improve processes and supporting regulatory and transformation initiatives.
Minimum Requirements
- Strong knowledge of SQL and Python mandatory.
- Experience with data visualization tools such as Tableau and applying statistical models to business problems.
- Quantitative degree required (e.g., Math, Statistics, Computer Science, Finance).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience managing complex strategic projects related to financial crimes risk oversight and risk management frameworks.
- Proven ability to work cross-functionally with Business, IT, Legal, Compliance, and senior stakeholders to influence risk program enhancements.
- Comfortable handling large datasets independently and delivering actionable risk insights, with familiarity or interest in AI-driven automation and digital transformation.