Blue Owl is seeking a Data Scientist to join their Alternative Credit investment team to evaluate, monitor, and optimize structured credit and asset-backed lending opportunities using quantitative analysis.
Requirements
- Complete fluency in Python for data manipulation, statistical modeling, and visualization.
- Demonstrated interest in finance.
- 2–4 years of relevant experience in data science, analytics, or investing.
Responsibilities
- Partner with investment professionals to design and implement quantitative models for asset-backed lending.
- Analyze loan-level and pool-level datasets to extract insights on collateral performance, credit risk, and portfolio behavior.
- Build and maintain Python-based forecasting, valuation, and risk analysis models.
- Automate ingestion, cleaning, and transformation of diverse financial datasets.
- Present findings and recommendations to portfolio managers and senior investment leadership.
Other
- Bachelor’s or Master’s degree in a STEM field (Math, Statistics, Computer Science, Engineering, Physics).
- Ability to communicate technical findings to non-technical audiences (investment team members).
