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# Detection Strategist - Director

- **Company:** Morgan Stanley
- **Location:** Baltimore, MD, United States
- **Experience:** Experienced
- **Salary:** $85,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Cloudera Impala, Data Mining, Relational Databases, Distributed File Systems, Fraud Prevention and Detection, Apache Hadoop, Apache Hive, Python (Programming Language), SQL Databases, Tableau (Software), Snowflake, Apache Spark, Pyspark
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8d581218b5a0b86b

## About the Role

* 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 (i.e., SQL, Hadoop, Snowflake) and related tools (Hive, Impala, Spark/PySpark, Tableau)
 * Experience working with a globally distributed team
 * Analytical, critical thinking and decision-making skills utilizing data extraction
 * Excellent written and verbal communication skills
 * Detail oriented with the ability and desire to work in a team environment

## Description

* Use data to detect out of pattern transactional or behavioral activity
 * Responsible for combining internal data with external intelligence to detect fraud as early in the fraud lifecycle
as possible

 * Identify solutions to fraud trends by improving existing or creating new controls
 * Create effective solutions in improving efficiency using different analytical techniques and forecasting
 * Create fraud detection rules and conduct pre and post production testing to ensure effectiveness
 * Partner cross-functionally with groups such as Customer Service, Product Management, and Engineering/Technology to enhance tools, data sources, system functionalities, and fraud
detection methods

 * Partner with the Data Science team to develop fraud risk models
 * Work closely with Fraud Operations to manage rule strategies to people capacity
 * Use statistical methods to analyze data and generate useful business reports
 * Communicate trends, findings, proposals/solutions to Management and Stakeholders
 * Measure performance using appropriate tools and techniques
 * Generate suspicious activity reports and risk management reports for Management
 * Recommend or introduce new tools used for fraud detection, prevention and reporting activities
 * Perform other related duties as assigned