Morgan Stanley
Data Analyst
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Budapest, Hungary
Work mode:
Onsite
Published on:
8 September 2026
What they need
We offer:
- A supportive and vibrant multinational environment
- An endless amount of interesting, complex business challenges
- A chance to influence a talent agenda that impacts over 80K employees
- A collegial atmosphere to deliver innovative solutions supported by a world-class team
- An opportunity to drive true, global business change
- Contingent/Leased assignment working onsite at Morgan Stanley
- Contract via 3rd party agency
You will:
- Analyze large and complex data sets to produce compelling insights and identify trends and outliers
- Work with the Data Analytics lead and other stakeholders to establish project objectives
- Define detailed requirements, including business rules and data acquisition needs
- Collaborate with stakeholders to develop user-friendly dashboards and visualization tools
- Develop processes and scripts to extract, transform and load (ETL) data
- Explore and apply GenAI tooling to accelerate data exploration, documentation and audit testing workflows
- Document logic and validate data quality to ensure results are accurate and reproducible
- Maintain a strong client focus by building relationships with Firm-wide stakeholders and identifying opportunities to apply data analytics solutions and tools in Internal Audit
You have:
- Degree in a STEM discipline (e.g. Computer Science, Mathematics, Statistics, Engineering, Physics) or equivalent quantitative background
- Experience using SQL, Python, Alteryx or similar to build complex queries for extracting and analyzing data
- Familiarity with database design concepts
- Ability to translate complex technical data concepts into business context
- Working understanding of data protection and data sensitivity rules and best practices
- Excellent written and verbal communication skills
- Experience in Internal Audit, banking or capital markets would be an advantage
- Knowledge of AI/ML concepts and model development would be an advantage
- Experience developing dashboards in Tableau, Power BI or similar would be an advantage
- Practical exposure to GenAI tools and prompt engineering, with an understanding of their limitations, output validation and appropriate use in a controlled environment
Team profile:
The IAD Data Analytics team develops innovative data, automation, and AI solutions that help Internal Audit perform more effective, risk-focused, and scalable assurance activities.
By combining advanced analytics and data engineering capabilities with close partnership across audit and technology teams, the team delivers actionable insights, continuous monitoring capabilities, and forward-looking risk coverage across the Firm.
About us:
Morgan Stanley provides a superior foundation for building a professional career - a place for people to learn, achieve and grow. You will be exposed to a truly international and multi-cultural environment that appreciates and respects individuality. Our state-of-the-art offices in the City Centre have been designed to maximize collaboration. There are various employee offers such as discount theatre tickets, dry cleaning service and many more.
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.
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