In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data & Analytics Engineering position at the Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

About the role:

The Director role within Fraud Detection Analytics performs a critical function within the Fraud Department, in safeguarding the organization against diverse fraud risks. This position is responsible for designing, implementing, and overseeing advanced analytics strategies to detect and mitigate fraudulent activities across multiple payment channels and fraud typologies, including account takeover (ATO), deposit fraud, scams, and emerging schemes. The ideal candidate combines deep technical expertise with strategic vision and strong communication skills to drive cross-functional collaboration and deliver actionable insights.

What you'll do in the role:

• 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.

What you'll bring to the role:

• 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).

Desired Skills:

• 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

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).