Quantitative Trading and Research Operations Developer
About The Position
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.
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
- Ability to work independently and collaboratively in a dynamic, fast-paced environment
Nice To Haves
- 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
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
Benefits
- medical and life insurance
- 401(K) plans
- access to other healthcare programs
- paid vacation and sick leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
