Data Analyst

Summary

Morgan Stanley is known as a global leader in financial services, and they are seeking a Junior Data Analyst to support data wrangling, reconciliation, and reporting workflows for Crypto-related investigative analytics within their Financial Crime Risk program. The role involves collaborating with stakeholders and ensuring data accuracy for investigative workflows.

Responsibilities

• Perform foundational data wrangling and preparation across datasets related to Fraud, GFC, and blockchain transactions
• Assist in data reconciliation and validation activities to ensure accuracy and completeness of investigation datasets
• Support the creation and maintenance of reporting outputs and recurring analytical deliverables
• Work with senior analysts to prepare datasets for investigative workflows, including structuring and cleaning data for downstream use
• Conduct data quality checks and basic issue identification, escalating data inconsistencies or anomalies as appropriate
• Support cross-functional data needs by collaborating with stakeholders across Fraud, GFC, and Technology teams
• Assist in handling restricted datasets accessible only to US-based staff, ensuring adherence to data governance and access controls
• Contribute to production reporting support, including recurring data refreshes and validation tasks
• Document data processes, assumptions, and transformations in a clear, audit-ready format

Skills

• 0-3+ years of experience in data analysis, data wrangling, or related analytical roles
• Working knowledge of SQL or similar query languages
• Basic understanding of data validation, reconciliation, and data quality practices
• Strong attention to detail, particularly in data accuracy and control-oriented environments
• Ability to work with structured and semi-structured datasets in a regulated setting
• Strong communication skills with the ability to follow requirements and translate data into structured outputs
• Ability to manage multiple tasks and work in a team-oriented, deadline-driven environment
• Willingness to learn new tools, datasets, and analytical approaches in a rapidly evolving domain
• Exposure to data tools (e.g., Python, Alteryx, Excel) is a plus
• Interest in Financial Crime and Crypto-related analytics

Qualifications

Must Haves

• 0-3+ years of experience in data analysis, data wrangling, or related analytical roles
• Working knowledge of SQL or similar query languages
• Basic understanding of data validation, reconciliation, and data quality practices
• Strong attention to detail, particularly in data accuracy and control-oriented environments
• Ability to work with structured and semi-structured datasets in a regulated setting
• Strong communication skills with the ability to follow requirements and translate data into structured outputs
• Ability to manage multiple tasks and work in a team-oriented, deadline-driven environment
• Willingness to learn new tools, datasets, and analytical approaches in a rapidly evolving domain

Nice to Haves

• Exposure to data tools (e.g., Python, Alteryx, Excel) is a plus
• Interest in Financial Crime and Crypto-related analytics

Benefits

• Commission earnings
• Incentive compensation
• Discretionary bonuses
• Other short and long-term incentive packages
• Other Morgan Stanley sponsored benefit programs