As a Detection Strategist on the Fraud team, you will be part of a dynamic team using data and analytics to root out the 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.
RESPONSIBILITIES
> Use data to detect out of pattern money movement transactions, such as, but not limited to debit cards, Wire Transfers, and trading
> Responsible for combining internal data with external intelligence to detect fraud as early in the fraud lifecycle as possible
> Come up with solutions to the trends identified by improving existing or creating new control
> Create effective solutions in improving efficiency using different analytical techniques and forecasting
> Create rules in the rule’s engine and conduct pre and post production testing to ensure effectivene
> Reach across the aisle and partner cross-functionally with groups such as Customer Service, Product Management, and Engineering/Technology to enhance tools, data sources, system functionalities, and fraud detection method
> Partner with the Data Science team to develop fraud risk model
> 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 Stakeholder
> Measure performance using appropriate tools and technique
> Generate suspicious activity reports and risk management reports for Management
> Recommend or introduce new tools used for fraud detection, prevention and reporting activitie
> Perform other related duties as assigned
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Qualifications:
REQUIREMENTS
> 3+ years working in quantitative analytic
> Proficiency with executing complex SQL queries (joins, subqueries, unions, temporary tables)
> Familiarity with statistical data analysis and visualization tools (Tableau, SAS, Python, R, etc.)
> Ability to diagnose an issue, identify a root cause, summarize, present, drive resolution, and track result
> Excellent communication and writing skill
> Must be dynamic self-starter, able to work independently or as part of a team
> Ability to work in a high-pressure environment
PREFERRED
> 2+ years Defense Edge experience
> Fraud prevention or behavior analysis experience
> Advanced degree (MS in analytics, Statistics, Mathematics, Information Systems, etc)
> Programming skills with big data
> Hadoop experience
> Experience working with Data Science and Product teams to support busine
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).
Expected base pay rates for the role will be between $100,000 and $150,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
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