Morgan Stanley
Fraud Detection Strategist - Director
$85K–$150K
Baltimore, Maryland · Hybrid · Director · Full-time · Posted Oct 15, 2026
- Experience
- 4+ years in fraud detection strategies; 4+ years practical and applied experience using QL/Python/Pyspark/Snowpark for statistics-based analytics; 4+ years conducting analytics work within financial services.
About the job
Develops fraud detection strategies by analyzing transactional and behavioral data, improving controls, and partnering with teams to detect and prevent fraud.
What you'll do
- Analyze internal and external data to identify fraud patterns and suspicious activity; create and test fraud detection rules.
- Improve fraud controls and detection efficiency, including partnering with Data Science on fraud risk models.
- Report findings and performance to management and stakeholders, and collaborate across teams to enhance fraud tools and methods.
What they ask for
- 4+ years experience in fraud detection strategies, preferably focused on non-card channels.
- 4+ years practical and applied experience using QL/Python/Pyspark/Snowpark to implement statistics-based analytics.
- 4+ years conducting analytics work within financial services.
- Experience using relational databases or distributed file systems and related tools.
Nice to have
- Experience working with a globally distributed team.
Pay
$85,000 and $150,000 per year (base salary)
Tools
QL, Python, Pyspark, Snowpark, SQL, Hadoop, Snowflake, Hive
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