Quantitative Finance and Computer Science Intern

Job Description

About Graham Capital Management, L.P. (“Graham”)

Graham Capital Management, L.P. (“Graham”) is an alternative investment manager established in 1994 by Kenneth G. Tropin. The firm specializes in discretionary and quantitative macro strategies, aiming to deliver strong, uncorrelated returns across diverse market environments. As one of the longest-standing global macro and trend-following managers in the industry, Graham emphasizes continuous innovation, evolving its strategies through a robust investment, technology, and operational infrastructure.

Graham leverages the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies. These strategies are built upon principles of thoughtful portfolio construction, active risk management, and diversification by design. The firm invests significant proprietary capital alongside its clients, which include global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors, thereby reinforcing alignment of interests across all strategies.

The firm’s sustainability and success are founded on the experience and contributions of its people. Graham is committed to cultivating talent, encouraging diversity of ideas, and respecting all contributions. In turn, employees share the responsibility of strengthening their colleagues.

The Internship Program

Graham Capital Management (GCM) is seeking a talented student for a Quantitative Finance and Computer Science intern position within its Quantitative Trading and Research Operations team. This is a paid internship offering a structured program that includes educational, skill-building, and networking events. Learning is a core aspect of GCM’s culture, actively integrated into the internship experience through daily collaboration, interaction with employees at all levels, and hands-on work with projects critical to the business’s fundamentals. The 9-week program will be fully in-person at GCM’s Rowayton, CT office.

Team & Responsibilities

The Quantitative Trading and Research Operations team provides crucial support to the Research team by developing and enforcing best practices, analyzing system financial and computational performance, and executing trades. Interns on this team can expect to gain familiarity with all team functions, with a particular focus on current initiatives such as:

• Trading system implementation
• Computational resource utilization
• Creating build and deployment processes
• Containerization
• Investigating cloud computing

Qualifications

• Pursuing a degree in a relevant quantitative field
• Strong Python skills
• Strong program design fundamentals
• Coursework or planned coursework in cybersecurity
• Comfort working in the command line on Unix
• Comfort using version control, such as Git
• Familiarity with JavaScript and HTML
• Familiarity with relational databases such as SQL
• Knowledge of R and MATLAB are helpful, as is familiarity with writing test cases
• Excellent interpersonal and communication skills
• Ability to work independently and collaboratively in a dynamic, fast-paced environment

Pay Range

The anticipated hourly rate for this position ranges from $40/hr to $55/hr. This range is based on information available at the time of posting. The actual hourly rate for a successful applicant will be determined by multiple factors, including prior experience, skills, and qualifications.

Equal Employment Opportunity

GCM is dedicated to providing equal employment opportunity to all employees and applicants without regard to race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy covers all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence, and compensation.