Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 41 countries.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an key part of our culture.

Department Profile:
The Financial Crimes Risk (“FCR”) department is embedded within the Firm’s business line. It is responsible for identifying, assessing, and escalating potential money laundering and reputational risk issues associated with higher risk client types.



The FCR department is considered the first line of defense and supports the onboarding, enhanced due diligence, and negative news processes for Morgan Stanley.

Position Summary:
Our key priority is to design and build Wealth Management, Bank, and Investment Management Risk’s ability to aggregate, analyze and report on relevant risk factors within the FCR segment across these Morgan Stanley businesses.

The Data, Analytics and Reporting Team (“DART”) within FCR is seeking a candidate who will provide analytical and reporting automation support for the financial crimes program, regulatory thematic updates, and transformation initiatives across the first line financial crimes processes. In addition to working within FCR, the employee will also collaborate with the Business, IT, Legal and Compliance, and Bank and Field Management.

Key Responsibilities:

Our key priority is to design and build the first line Financial Crimes Risk supervisory framework and contr

📌 Data Analytics (Mumbai)
🏢 Morgan Stanley
📍 Mumbai