Quantitative Finance and Computer Science – 2026 Summer Internship

Graham Capital Management L.P. (Graham) is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies Graham is dedicated to delivering strong uncorrelated returns across a wide range of market environments. As one of the industrys longest-standing global macro and trend-following managers Graham remains committed to innovation evolving its strategies through a robust investment technology and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies each built on the principles of thoughtful portfolio construction active risk management and diversification by design. Graham invests significant proprietary capital alongside its clients including global institutions endowments foundations family offices sovereign wealth funds investment management advisors and qualified individual investors reinforcing alignment of interests across all strategies.

The foundation of Grahams sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent encourage the diversity of ideas and respect the contributions of turn each employee shares in the responsibility of strengthening those around them.

The Internship Program

GCM is looking for a talented student to join as a Quantitative Finance and Computer Science intern on our Quantitative Trading and Research Operations team. GCMs paid internship features a structured program consisting of educational skill-building and networking events. Learning is the cornerstone of our culture and plays an active role in the internship experience through daily collaboration and interaction with employees at all levels and most significantly by working on projects that matter to the fundamentals of our business. The role will be fully in-person based out of our Rowayton CT office for the 9-week program.

Team & Responsibilities

The Quantitative Trading and Research Operations team supports the Research team by developing and enforcing best practices analyzing system financial and computational performance and executing trades. Interns can expect to gain familiarity with all areas of the team with a particular focus on current initiatives regarding trading system implementation computational resource utilization creating build and deployment processes containerization and investigating cloud computing.

Qualifications

• Pursuing a degree in 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. The anticipated range is based on information as of the time this post was generated. The applicable hourly rate paid to a successful applicant will be determined based on multiple factors including without limitation the nature and extent of prior experience skills and qualifications.

GCM is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their 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 applies to all terms and conditions of employment including hiring placement promotion layoff termination transfer leave of absence and compensation.