2026 Undergraduate Intern, Risk, Reporting & Analytics

Our Company 

Oaktree is a leader among global investment managers specializing in alternative investments, with about $200 billion in assets under management. The firm emphasizes an opportunistic, value-oriented and risk-controlled approach to investments in credit, private equity, real assets, and listed equities. The firm has over 1200 employees and offices in 24 cities worldwide.  

For additional information please visit our website at www.oaktreecapital.com. More information about our summer development program can be found here. Applications will be open through December 12, 2025, and candidates can submit a maximum of three applications.  Please note, we are currently unable to provide sponsorship for our summer internship positions. This includes STEM OTP, H1-B, and other employment-based immigration cases.
Participation in our summer program does not guarantee future employment. 

The Role

Oaktree is seeking a summer intern with a 2027 or 2028 expected graduation date to spend 10-weeks within our Risk, Reporting, and Analytics team.

Responsibilities include:

• Participate in a 10-week internship program;  

• Architect and formalize tools and code to analyze datasets using SQL, Python etc. to develop investment insights;  

• Understand general departmental data extraction and modeling - planning and design;

• Understanding the menu of work that the Portfolio Analytics & Reporting sub-team is responsible for;

• Understand the data and technology architecture at Oaktree;

• Meet other interns and build relationships across the organization;

Qualifications:

• Outstanding analytical skills;   

• Strong technical/ programming skills, incl. intermediate/ advanced Python, SQL, and some familiarity with databases;
• Ideally majoring in engineering or a hard science;

• Statistical and modeling skills;

• Knowledge of big data methods, finance applications, etc.;

• Fluency in basic Python libraries, as well as more scientifically oriented ones;

• Familiarity with AI/ ML packages as applied to finance a plus;

• Familiarity with MS Fabric for developing data pipelines, dataflows, Lakehouse, and data warehouse solutions a plus; 

• Some understanding of finance and economics;
• Familiarity with private financial markets highly desirable.

Personal Attributes:

• Self-starter with a proven ability to take initiative;

• Responsible with a strong work ethic and sense of dedication;

• Excellent interpersonal, verbal and written communication skills;

• Works well under pressure and with time constraints;

• Outstanding organization skills with high attention-to-detail;

• Team-oriented with strong integrity and professionalism; and  

• Must be able to handle highly confidential information and situations with professionalism and tact.

Education

Currently pursuing a Bachelor’s degree with a high GPA from a university or college.