Responsibilities
Oaktree is seeking a Managing Director to join its platform supporting alternative investment strategies. This individual will work at the intersection of data science and investing, developing analytical tools and models to enhance portfolio construction, risk management, and investment decision-making across credit and other alternative asset classes.
The role will partner closely with Portfolio Managers, Investment Analysts, Risk, and Technology teams to deliver insights on exposures, market dynamics, and investment opportunities, while helping to build scalable analytics and data infrastructure across the firm.
• Develop and implement analytical models to support portfolio construction, investment research, and risk management across alternative strategies
• Provide insights on portfolio exposures, market risk, and performance drivers using advanced data analysis and statistical techniques
• Partner with investment teams to understand strategies and translate investment questions into data-driven frameworks
• Contribute to the development of firmwide analytics and tools that serve as a foundation for investment and risk decision-making
• Work closely with Technology and Data Engineering teams to design and maintain data pipelines, ensuring timely and accurate availability of investment data
• Analyze large, complex datasets (including unstructured data) to identify trends, signals, and actionable insights
• Evaluate and integrate third-party datasets relevant to alternative investments
• Build dashboards, reporting tools, and visualizations for internal stakeholders
• Identify opportunities to improve systems, workflows, and analytical processes across the investment platform
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Qualifications
• 15 years of experience in data science, quantitative research, or a related role within asset management or financial services
• Strong programming skills in Python; experience with SQL and database structures required
• Experience applying statistical modeling, machine learning, or quantitative techniques to financial data
• Familiarity with fixed income and credit markets (e.g., loans, bonds, structured credit) strongly preferred
• Experience working with investment data, systems, and data flows across the investment lifecycle is a plus
• Ability to work closely with investment professionals, offering insights and improving analytical workflows

Personal Attributes
• Strong intellectual curiosity and interest in alternative investments
• Excellent communication skills, with the ability to convey complex analyses to non-technical stakeholders
• High level of initiative and a strong work ethic
• Collaborative, team-oriented mindset with the ability to work across functions
• Detail-oriented with a focus on accuracy and continuous improvement of systems and processes

Education
• Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, or related discipline) required
• Advanced degree (MS or PhD) preferred