Blue Owl is looking for a Data Scientist to develop data-driven solutions across multiple investment verticals, including liquid credit, insurance, direct lending, and other alternative strategies, to support portfolio monitoring, alpha generation, and risk management.
Requirements
- Complete fluency in Python; strong experience with pandas, NumPy, scikit-learn.
Responsibilities
- 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.
- Collaborate with teams across the firm to scope and deliver data-driven solutions.
Other
- Bachelor’s or Master’s degree in a STEM discipline.
- 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.
- The base annual salary range for this New York City-based position will be $125,000 to $175,000.
