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Firm, delivers industry leading operational solutions by aligning the right functions, people, processes, and tools to ensure the Firm is protected against internal and external fraud risk.
Our vision is to deliver programs that protect and enable our businesses, ensure secure delivery of services to our clients, adjust to address the risks presented by an evolving threat landscape, meet regulatory expectations, and offer highly attractive career opportunities.
Team Overview
The Fraud Analytics and Data Science Team (ADS) provides support to the greater Fraud Department and other Firm stakeholders across multiple functional groups including Governance, Metrics, Reporting, Analytics, Data and Graph object development, and AI/ML model development. As a member of this team you will be working across all channels of Fraud at the Firm and delivering data-driven solutions to support our efforts to safeguard our clients and the Firm.
What You will do in the role
Analyze large datasets to identify trends, detect anomalies, and support fraud department reporting requests.
Develop clear, actionable reports and dashboards for business leaders and stakeholders.
Collaborate with teams across fraud department, technology, risk and compliance to enhance data-driven decision-making.
Ensure data integrity, accuracy, and compliance with established firm and department standards.
Communicate complex data insights in a simple, compelling way to both technical and non-technical audience.
What You will bring to the role
2-3 years of experience using Tableau or similar visualization tools
Experience using relational databases (e.g. SQL, Hive, Impala, Hadoop) for business reporting and metrics development
Experience using Python (or similar languages) to conduct analytic inquires
Experience in developing an understanding of large data sets coupled with an ability to use that data to answer questions posed by business owners
Ability to verbally and in writing summarize and/or describe business processes and requirements
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
Desired Skills
Experience or knowledge in financial services and/or fraud
Practical and applied experience using statistical or general-purpose programming languages (Python, R etc) to implement statistics-based analytics
Understanding of fraud and security issues within the banking and finance industry
Experience with data analytics in the context of fraud investigation, Financial Services, payment processing, and/or similar fields
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://https://www.morganstanley.com/about-us/global-offices into your browser.
Salary range for the position $65,000 to $120,000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and X Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.
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).