Blue Owl Capital
Data Scientist - Alternative Credit, Senior Associate / Associate
Blue Owl Capital, New York, New York, us, 10261
Overview
Data Scientist - Alternative Credit, Senior Associate / Associate at
Blue Owl Capital . The role sits on the investment team and applies quantitative analysis to evaluate, monitor, and optimize structured credit and asset-backed opportunities within the Alternative Credit investment team. 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. Qualifications
Bachelor’s or Master’s degree in a STEM field (Math, Statistics, Computer Science, Engineering, Physics). 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. Ability to communicate technical findings to non-technical audiences (investment team members). Compensation & Benefits
It is expected that the base annual salary range for this New York City-based position will be $125,000 to $175,000. Actual salaries may vary based on factors such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Equal Opportunity
Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
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Data Scientist - Alternative Credit, Senior Associate / Associate at
Blue Owl Capital . The role sits on the investment team and applies quantitative analysis to evaluate, monitor, and optimize structured credit and asset-backed opportunities within the Alternative Credit investment team. 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. Qualifications
Bachelor’s or Master’s degree in a STEM field (Math, Statistics, Computer Science, Engineering, Physics). 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. Ability to communicate technical findings to non-technical audiences (investment team members). Compensation & Benefits
It is expected that the base annual salary range for this New York City-based position will be $125,000 to $175,000. Actual salaries may vary based on factors such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Equal Opportunity
Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
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