Blue Owl Capital

About the Company

Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives®.

With over $250 billion in assets under management as of December 31, 2024, we invest across three multi-strategy platforms: Credit, GP Strategic Capital, and Real Assets. 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 over 1,100 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com.

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Listed Jobs

Company Name

Blue Owl Capital

Job Title

Data Scientist - Alternative Credit, Senior Associate / Associate

Job Description

Job title: Data Scientist – Alternative Credit, Senior Associate / Associate Role Summary: Data Scientist on the Alternative Credit team developing quantitative models for asset‑backed lending, analyzing loan‑level and pool‑level data to assess collateral performance, credit risk, and portfolio behavior, and automating data pipelines to support investment decisions. Expactations: • Deliver robust, reproducible models and analyses that inform investment strategy. • Maintain high data quality and efficient workflows for continuous monitoring. • Communicate insights clearly to portfolio managers and senior leadership. Key Responsibilities: • Design and implement Python‑based forecasting, valuation, and risk analysis models for structured credit. • Analyze loan‑level and pool‑level datasets to extract insights on collateral performance, credit risk, and portfolio behavior. • Automate ingestion, cleaning, and transformation of diverse financial datasets. • Build and maintain data pipelines for model input and reporting. • Present findings and recommendations to portfolio managers and senior investment leadership. Required Skills: • Python (pandas, numpy, scikit‑learn, matplotlib/ seaborn or similar). • Statistical modeling, time‑series analysis, and machine learning. • Data manipulation, cleaning, and ETL pipeline development. • Strong analytical and quantitative skills. • Ability to translate technical results into actionable business insights. • Effective written and verbal communication. Required Education & Certifications: • Bachelor’s or Master’s degree in STEM (Mathematics, Statistics, Computer Science, Engineering, Physics). • 2–4 years of experience in data science, analytics, or investing. • Demonstrated interest in finance (preferred but not mandatory).

New york, United states

On site

Senior

10-09-2025