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Detection Strategist - Director

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Morgan-Stanley
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 85000 - 150000 USD Yearly USD 85000.00 150000.00 YEAR
Job Description & How to Apply Below
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 Cyber Security Operations position at the Director level, which is part of the job family responsible for monitoring, detecting, and responding to security incidents to ensure the organization's systems and data are protected from actual and potential threats or breaches.

Morgan Stanley Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

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 lifecycleas 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 channels4+ years practical and applied experience usingQL/Python/Pyspark/Snowpark to implement statistics-based analytics4+ 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 WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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…
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