Morgan Stanley is a leading global financial services firm providing investment banking, securities, wealth management and investment management services. With a 90-year history, Morgan Stanley today operates in 42 countries serving corporations, governments, institutions, families and individuals.

Morgan Stanley is a talent business that demands ongoing investment in our people. Key drivers of our success have been the breadth and tenure of our talent, as well as a unique culture and a set of values that guide our employees. We view Morgan Stanley’s talent and culture as a key competitive advantage enabling the Firm to achieve its potential and drive future success.

As an integrated firm with scaled capabilities, we partner with clients at every stage of their financial journey. Our ability to do so is grounded in four pillars that define Morgan Stanley: a clear and consistent strategy to help clients raise, manage and allocate capital; a culture grounded in rigor, humility and partnership; financial strength through capital, earnings power and durability; and growth driven by smart, strategic investment globally.

These pillars enable Morgan Stanley to provide trusted advice, operate with resilience across market cycles and deliver long-term value to our clients and shareholders.

What you'll do in the role:

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

What you'll bring to the role:

0-3+ years of experience in data analysis, data wrangling, or related analytical roles

Working knowledge of SQL or similar query languages; exposure to data tools (e.g., Python, Alteryx, Excel) is a plus

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

Interest in Financial Crime and Crypto-related analytics

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