Data Science - Generalist, Senior Associate / Associate
About The Position
Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives®. With over $295 billion in assets under management as of September 30, 2025, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation. Together with approximately 1,365 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com The Role We are looking for a versatile Data Scientist to work across multiple investment verticals, including liquid credit, insurance, direct lending, and other alternative strategies. This role provides exposure to diverse asset classes and requires adaptability, intellectual curiosity, and strong technical foundations.
Requirements
- Bachelor’s or Master’s degree in a STEM discipline.
- Complete fluency in Python; strong experience with pandas, NumPy, scikit-learn.
- Demonstrated interest in financial markets and investing.
- 2–4 years of professional experience in data science, analytics, or financial modeling.
- Strong problem-solving skills and ability to deliver practical, usable outputs across domains.
Responsibilities
- Collaborate with teams across the firm to scope and deliver data-driven solutions.
- Develop flexible Python-based tools to support portfolio monitoring, alpha generation, and risk management.
- Apply machine learning and statistical techniques to large-scale financial datasets.
- Design scalable dashboards and visualizations to support investment workflows.
- Conduct ad hoc analyses across asset classes and product groups.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
