Associate - Fraud Strategy & Analytics

Key Skills

Data Analysis, Data science techniques, Data Visualization, Effective communication skills, Operations, Product Management, Python Programming, R Programming, SAS, SQL, Tableau

Job Description

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting edge modeling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients businesses and to our own.

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 controls

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 effectiveness

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 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

QUALIFICATIONS

REQUIREMENTS

3+ years working in quantitative analytics

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 results

Excellent communication and writing skills

Must be dynamic self-starter, able to work independently or as part of a team

Ability to work in a high-pressure environment

PREFERRED

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 business

EDUCATION, CERTIFICATION, TRAINING

Bachelor's Degree or equivalent work experience in an area relevant to this position

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.