Junior Data Analyst

Were seeking someone to join our team as a Junior Data Analyst in NFR Data & Analytics to support data wrangling reconciliation and reporting workflows for Crypto-related investigative analytics within our Financial Crime Risk program.

In the Legal & Compliance division we assist the Firm in achieving its business objectives by facilitating and overseeing the Firms management of legal regulatory and franchise risk. This is an Analyst level position within the NFR Data & Analytics team which supports Financial Crime and Fraud stakeholders by delivering data preparation analytics and reporting used in investigative workflows.

Since 1935 Morgan Stanley is known as a global leader in financial services always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What youll 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 youll 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

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll find an opportunity to work alongside the best and the brightest in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

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Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion where individuals are hired developed and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate bringing a variety of backgrounds talents perspectives and experiences.

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