Fraud Detection Strategist - Associate - Data & Analytics Engineering

Were seeking someone to join our Cyber Data Risk & Resilience as a Fraud Detection Strategist with a strong focus on both engineering and operations in Global Fraud department.
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 an engineering position at Director level, which is part of the job family responsible for engineering and operations of cryptographic solutions.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What You Will Do In The Role

• 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
  

What You Will Bring To The Role

• Use data to detect out of pattern transactional activity
  
• 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 rules 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 Bachelor Degree and above.
  

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 thats differentiated – and weve 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 - arent just beliefs, they guide the decisions we make every day to do whats best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll 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. Theres 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 is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.