Data Analyst II, Associate, P2
Morgan Stanley5 months ago
Baltimore, Maryland, United States
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
Morgan Stanley, a leading global financial services firm, is seeking a Fraud Analytics and Data Science professional to join the Fraud Operations team under the Technology & Operations Risk division. In this role, you will work across all fraud channels to deliver data‐driven solutions, collaborate with cross-functional teams, and help safeguard our clients and the firm. This opportunity is ideal for a detail-oriented individual passionate about analytics in a fast-paced, dynamic environment.
Key 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, 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 audiences.
Required Qualifications
- 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 inquiries.
- Ability to analyze large data sets and extract meaningful insights to answer business questions.
- Excellent written and verbal communication skills.
- Strong analytical, critical thinking, and decision-making skills.
- Detail oriented with the ability and desire to work in a collaborative team environment.
Preferred Qualifications
- Experience or knowledge in financial services and/or fraud.
- Practical experience using statistical or general-purpose programming languages (e.g., Python, R) to implement statistics-based analytics.
- Understanding of fraud and security issues within the banking and finance industry.
- Experience with data analytics in fraud investigation, financial services, payment processing, or similar fields.
Benefits & Perks
- Salary Range: $65,000 to $120,000 per year, with eligibility for an annual discretionary incentive compensation award and participation in the relevant incentive compensation plan.
- Comprehensive Benefits: Includes Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability, and Other Insurance Plans.
- Paid Time Off: Sick Leave (as per state and local laws), Parental Leave, Vacation Days, and 10 Paid Holidays.
- Retirement and Other Perks: 401(k), Short/Long Term Disability, plus additional special perks reserved for employees.
Required Skills
Fraud Analytics
Python
Tableau
Hadoop
Impala
Hive
Data Analysis
Dashboard Development
SQL
Data Integrity