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 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and build a supervisory control framework for Financial Crimes Risk across Wealth Management, Bank, and Investment Management businesses.
- Develop and automate data aggregation, analysis, and reporting tools for financial crimes risk, including regulatory and transformation initiatives.
- Collaborate with multiple internal stakeholders to identify risk gaps, provide control recommendations, and manage data pipelines supporting risk management processes.
Minimum Requirements
- Proficiency in SQL and Python required for data processing and reporting automation.
- Experience managing multiple competing priorities and complex projects.
- Quantitative degree required (Math, Statistics, Computer Science, Finance).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in risk management or financial/crime risk oversight, preferably with exposure to Wealth Management.
- Strong quantitative and data analytics skills including statistical modeling and visualization (e.g., Tableau).
- Able to engage senior stakeholders and influence cross-functional teams for risk framework enhancements and digital transformation initiatives.