Graham Capital Management, L.P. (collectively with its affiliates, "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 industry’s 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 Graham’s 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 all. In turn, each employee shares in the responsibility of strengthening those around them.

Description

Graham is seeking an early-career developer to join our Quantitative Trading and Research Operations team, which sits within our broader Quantitative Strategies department. The successful candidate will support the Quantitative Strategies department by developing, maintaining, and refactoring code used in research and trading, with a particular focus on improving the reliability and maintainability of existing programs. This individual will work closely with researchers and follow established development and code review processes, including regular interaction with the firm’s Quality Assurance Committee. The ideal candidate enjoys hands-on development, troubleshooting, and improving existing systems within an evolving production environment.

Responsibilities

Partner with the Quantitative Strategies department to develop, maintain, and improve code supporting research and trading activities
Review, refactor, and update legacy programs to meet established coding standards and improve reliability, maintainability, and computational performance
Provide ongoing maintenance and support for both existing systems and newly developed tools
Develop and maintain test cases to validate code changes and help prevent errors and system failures
Follow established development and code review processes, working regularly with the Quality Assurance Committee and incorporating feedback from senior leaders across Technology and Data
Analyze system financial and computational performance and execute trades
Support engineering initiatives related to trading system implementation, computational resource utilization, build and deployment processes, containerization, and evaluation of cloud computing

Requirements

Bachelor's degree in computer science or a related field
Strong Python skills
Strong program design fundamentals and refactoring experience
Knowledge of CI/CD process
Comfortable working in the command line on Unix
Comfortable using version control, such as Git
General familiarity with PowerShell
Familiarity with SQL and other enterprise database structures
Excellent interpersonal and communication skills
Coursework in cybersecurity is a plus
Familiarity with cloud compute and general infrastructure design is a plus
Knowledge of R and MATLAB and familiarity with writing test cases is a plus
Ability to work independently and collaboratively in a dynamic, fast-paced environment

This role requires commuting into our Rowayton, CT office Mondays through Fridays.

Base Salary Range

The anticipated salary range for this position is $90,000 to $125,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or 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. This wage range may be modified in the future.