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