Detection Strategist - Director

As a Detection Strategist on the Fraud team, you will be part of a dynamic team using data and analytics to root out bad actors to protect our clients and the Firm. You will identify fraud trends, investigate suspicious behavior and identify significant insights from different sets of data. You will develop and communicate creative solutions to combat different types of fraud What you'll do in the role: • 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 What you'll bring to 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 Salary range for the position: $85,000 and $150,000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.