Morgan Stanley ยท 1 day ago
Director - Threat Detection Analyst
Alpharetta, GA
Full-time
Onsite
Mid, Senior Level
5+ years expMorgan Stanley is a leading global financial services firm that leverages innovation to build connections and capabilities. The Director role within Fraud Detection Analytics is responsible for designing and overseeing advanced analytics strategies to detect and mitigate fraudulent activities across multiple payment channels.
Asset ManagementFinanceFinancial ServicesLending
Responsibilities
Develop and refine fraud detection controls and analytical frameworks targeting fraud risks such as ATO, deposit fraud, scams, and other typologies
Monitor and analyze transaction channels (crypto, wire, ACH, Zelle, bill payments) for suspicious activity and emerging patterns
Leverage data-driven insights by integrating internal data with external intelligence sources for proactive fraud detection
Utilize SQL and advanced analytics to extract, analyze, and interpret large datasets to identify emerging fraud trends
Apply predictive modeling, forecasting, and statistical methodologies to enhance operational efficiency and reporting
Design and validate rules within the fraud rules engine, conducting rigorous pre- and post-production testing
Continuously adjust controls based on observed trends to address evolving risks
Identify automation opportunities to streamline manual processes related to data collection, metric calculation, and loss assessment
Deliver business insights through dashboards and visualization tools (Tableau, SAS, Python, R) and produce on-demand reports
Communicate key trends, findings, and actionable recommendations to management and stakeholders
Prepare and present executive-level reports on suspicious activities and risk management
Set and monitor KPIs for fraud detection, implementing mitigation strategies where needed
Collaborate with Customer Service, Product Management, Engineering, and Data Science teams to enhance fraud detection tools and models
Coordinate with Fraud Operations to align rule strategies with staffing resources
Recommend and implement innovative technologies for fraud detection, prevention, and reporting
Qualification
Required
Minimum of 5+ years of experience in fraud analytics, financial crime, or risk management
Bachelor's or Master's degree in Data Science, Computer Science, Finance, or related field
Expert proficiency in SQL (including joins, subqueries, unions, temporary tables) for data extraction, analysis, and reporting
Demonstrated experience designing and implementing fraud detection models, with a strong focus on account takeover, scam & first party fraud scenarios
In-depth understanding of transaction exhaust methods (cryptocurrency, wires, ACH, Zelle, bill payments)
Strong analytical, problem-solving, and decision-making skills
Excellent verbal and written communication skills, with the ability to present complex findings to non-technical audiences
Experience working with large datasets and modern analytics tools (Python, R, Tableau, SAS)
Preferred
Previous experience in banking, fintech, or payments industry
Knowledge of regulatory requirements related to financial fraud and AML
Familiarity with fraud monitoring tools and case management systems
Ability to work in fast-paced, high-pressure environments and manage multiple priorities effectively
Proven track record of leading successful fraud detection initiatives across multiple payment channels
Advanced skills in statistical analysis and visualization platforms
Experience collaborating with Data Science and Product teams to produce fraud risk models and meet business goals
Benefits
Some of the most attractive and comprehensive employee benefits and perks in the industry
Company
Morgan Stanley
Morgan Stanley is a financial services company that offers securities, asset management, and credit services.
10001+ employees
H1B Sponsorship
Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (222)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1997-02-05IPO
Leadership Team
James Gorman
Chairman and CEO
Ted Pick
Chief Executive Officer (CEO)
Recent News
2026-01-09
Benzinga.com
2026-01-09
2026-01-09
Company data provided by crunchbase