Data Analytics - Business Solutions Group - Associate

Morgan Stanley • New York, NY

13d • $100,000 - $150,000

About The Position

The Business Solutions Group (BSG) sits within Morgan Stanley’s Institutional Securities Group (ISG) and drives cross-business transformation initiatives focused on operational efficiency, data enablement, automation, and advanced analytics. The team partners with business lines, technology, operations, and control functions to modernize processes, improve decision-making through data, and deploy scalable solutions that support the firm’s evolving strategic and regulatory priorities. This role will focus on developing analytical capabilities, supporting data-driven transformation initiatives, and enabling automation and advanced analytics across lending, risk, and operational workflows. The ideal candidate combines strong quantitative and data engineering skills with an understanding of financial services processes and is comfortable working in cross-functional environments spanning business, technology, and risk stakeholders. As a key member of the BSG team, this individual will work in cross-functional agile teams alongside various business stakeholders (e.g. business, technology, operations, risk and finance) to innovate and consult on developing new or enhancing existing technologies. This role offers the opportunity to collaborate with colleagues and industry experts to design and deliver high performance data frameworks and technical platforms that power advanced analytics engagements and solutions.

Requirements

• Proven ability to manage delivery/execution of a wide range of tasks and initiatives
• Experience working with large datasets and building analytical models
• Ability to translate complex business problems into structured analytical approaches
• Strong programming skills for data analysis and transformation
• Experience collaborating with cross-functional teams including business, technology, and operations
• Strong communication skills with the ability to explain analytical insights to both technical and non-technical stakeholders
• Eagerness to learn business and understand detailed technical requirements
• Python, R, or similar languages
• Experience working with large datasets and data manipulation libraries (e.g., Pandas, NumPy)
• Familiarity with data engineering concepts, including building ETL pipelines and working with APIs
• Familiarity with SQL and relational databases
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Python visualization libraries)
• A minimum of 2-5 years of relevant experience
• Degree in data science, Statistics, Computer Science, Engineering, Mathematics, Economics, or Finance

Nice To Haves

• Exposure to machine learning techniques and statistical modeling is a plus
• Experience working with structured, semi-structured, and unstructured data is a plus
• Exposure to cloud platforms and modern data architectures is a plus
• Experience working with financial datasets or financial services institutions preferred
• Understanding capital markets, lending, risk management, or financial operations is a plus
• Experience supporting data-driven transformation or operational improvement initiatives is beneficial

Responsibilities

• Support high quality, multi-workstream engagements within ISG including front office, risk, finance, operations and technology
• Design analytical frameworks to evaluate automation opportunities, operational efficiency improvements, and process performance
• Support the development of advanced analytics solutions including predictive models, workflow automation, and AI-enabled decision tools
• Partner with business, technology, and operations teams to translate business requirements into data and analytical solutions
• Conduct quantitative analysis on large financial and operational datasets to identify insights and efficiency opportunities
• Support the design and implementation of data architectures that enable advanced analytics and automation capabilities
• Contribute to the development of internal data products and dashboards that enhance transparency and decision-making
• Assist with implementation planning and monitoring of transformation initiatives, ensuring analytical insights translate into measurable improvements
• Document analytical methodologies, data sources, and transformation initiatives to ensure transparency and reproducibility

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees