Bachelor's degree in Data Science, Statistics, or a related field., Proficiency in data analysis tools such as SQL, Python, or R., Experience with fraud detection methodologies and techniques., Strong analytical and problem-solving skills..
Key responsibilities:
Analyze large datasets to identify patterns and trends related to fraud.
Prepare detailed reports and presentations for stakeholders.
Collaborate with cross-functional teams to develop fraud prevention strategies.
Monitor and assess the effectiveness of fraud detection systems.
Report This Job
Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
Morgan Stanley (NYSE: MS) is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in 42 countries, our firm's employees serve clients worldwide including corporations, governments, institutions and individuals.
We are committed to maintaining the first-class service and high standard of excellence that have always defined the firm and everything we do is guided by our five core values: Do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back.