About this Quantitative Trading and Research Operations Developer role at Graham Capital Management, L.P.
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.
In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.
Notes:
No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.
Other
Graham 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.
Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan. All employees also receive paid vacation and sick leave. Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods. Benefits are subject to change and may differ for non-U.S. roles.
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.
