Data Analyst II, Associate, P2

Morgan Stanley•Baltimore, MD

61d•$65,000 - $120,000

About The Position

Fraud Operations, under the Technology & Operations Risk division, plays a key role in supporting the 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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.

Benefits

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.

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