Jobs at Graham Capital Management

Develop, maintain, refactor, and support software used for quantitative research and trading. Improve legacy code reliability, maintainability, and performance; create test cases; troubleshoot systems; and follow code review and QA processes. Support trading-system implementation, computational resource utilization, build and deployment processes, containerization, cloud computing evaluations, and trade execution while collaborating with researchers and technology leaders.

Research and develop systematic trading signals for futures and FX markets, improve and productionize quantitative trading code, and ensure robust alignment between simulated and live performance. Collaborate with technology, trading, operations, marketing, and accounting teams to implement and monitor strategies. Present research findings to management and investment committees while applying quantitative analysis and software development methods.

Paid, in-person summer internship for undergraduate and graduate students across quantitative strategies, portfolio management, risk, investor services, economic research, technology, trading services, and legal/compliance. Interns participate in educational and networking programming while completing meaningful business projects. Candidates need at least two years of undergraduate study, a 3.5 GPA, analytical skills, Microsoft Office or relevant analytical-tool proficiency, communication skills, and strong organization. Quantitative roles additionally require a quantitative degree path and programming skills.

Paid, in-person summer internship for undergraduate and graduate students in Graham Capital’s London office. Interns may support discretionary portfolio management, quantitative strategies, risk management, or technology while participating in educational, networking, and firmwide programming. Responsibilities include meaningful business projects, collaboration with employees, and skill development. Candidates should demonstrate analytical ability, intellectual curiosity, communication skills, organization, and interest in financial markets or investment management.

Join the Data Science team to innovate solutions for data problems, develop forecasting models, and enhance quant strategies using machine learning.

Design, build, and support Windows and web applications for middle/back-office processing, real-time pricing, and valuation. Improve system robustness, scalability, and performance; write and execute unit/integration tests; collaborate with stakeholders to deliver maintainable solutions.

The Quantitative Research Manager leads research to improve trading systems, develop new trading signals, and manage an alpha generating portfolio. Responsibilities include collaborative team research and effective communication across departments.

The AI/ML Quantitative Research Manager leads research efforts in quantitative strategies, develops AI/ML models for trading signals, and collaborates with internal teams to enhance trading systems.

The Quantitative Research Analyst will research methods to improve trading systems, develop new trading signals, and optimize portfolio performance through quantitative analysis.