Data Analytics - Business Solutions Group - Associate
$100,000–$150,000 year
On-site · New York City, New York, United States
Job Summary
Role focuses on developing analytical capabilities and enabling automation and advanced analytics across lending, risk, and operational workflows within Morgan Stanley's Business Solutions Group. Responsibilities include designing analytical frameworks to evaluate automation opportunities, supporting advanced analytics solutions (predictive models, workflow automation, AI-enabled decision tools), translating business requirements into data/analytical solutions, conducting quantitative analysis on large financial datasets, and contributing to data architectures and internal data products/dashboards to improve transparency and decision-making. Requires strong programming skills (Python, R) and experience with data engineering concepts (ETL, APIs), SQL, data visualization, and collaboration with cross-functional teams across business, technology, and operations.
Required Qualifications
- 2-5 years of relevant experience
- Degree in data science, Statistics, Computer Science, Engineering, Mathematics, Economics, or Finance
- Experience with Python, R, or similar languages
- Experience with SQL and relational databases
- Experience with data manipulation libraries (Pandas, NumPy)
- Experience building ETL pipelines
- Experience translating business problems into analytical solutions
- Strong communication skills to explain analytical insights to technical and non-technical stakeholders
- Experience with data visualization tools (Tableau, Power BI)
- Exposure to machine learning techniques is a plus
- Experience with cloud platforms and modern data architectures is a plus
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