Quantitative Trading & Research Systems Engineer

Graham Capital Management, L.P.; Norwalk (CT); On-site; USD 90,000 - 125,000; Full time

Benefits offered by this job

Discretionary bonus

Health insurance

401(k) plan

Job summary

Graham Capital Management, L.P. in Rowayton, CT is seeking an early-career developer to join the Quantitative Trading and Research Operations team. You will develop, maintain, and refactor code used in research and trading, focusing on reliability and maintainability within production environments.

You will work with researchers, follow QA processes, and contribute to test cases, deployment, and cloud-related initiatives, employing strong Python skills and a solid foundation in computer science.

Qualifications

• Bachelor’s degree in computer science or a related field.
• Strong Python skills.
• Familiar with CI/CD process.
• Comfortable working in the command line on Unix.
• Experience with version control systems (Git).
• Familiarity with SQL and enterprise databases.

Responsibilities

• Develop, maintain, and refactor code supporting research and trading activities.
• Review, refactor, and update legacy programs to meet coding standards and improve performance.
• Provide ongoing maintenance and support for existing systems and new tools.
• Develop and maintain test cases to validate code changes.
• Follow established development and code review processes with QA Committee and leadership.

Skills

Python

CI/CD

Unix command line

Git

SQL

PowerShell

Education

Bachelor’s degree in computer science or related field

Tools

Git

PowerShell

CI/CD tools

Job description

Graham Capital Management, L.P. in Rowayton, CT is seeking an early-career developer to join the Quantitative Trading and Research Operations team. You will develop, maintain, and refactor code used in research and trading, focusing on reliability and maintainability within production environments.

You will work with researchers, follow QA processes, and contribute to test cases, deployment, and cloud-related initiatives, employing strong Python skills and a solid foundation in computer science.