Quantitative Research Analyst, Smart Execution

Quantitative Research Analyst, Smart Execution

Join to apply for the Quantitative Research Analyst, Smart Execution role at Graham Capital Management, L.P.

Graham Capital Management, L.P. ("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.

Graham Capital Management, L.P. is seeking a Quantitative Research Analyst with a specialization in Smart Execution and intraday trading signals to join our Quantitative Strategies team. The role is an excellent opportunity for a quantitative researcher to diversify their experience and join a dynamic team in a high‑impact role.

• Develop and optimize proprietary execution strategies and intraday systematic strategies for Futures and FX
• Perform market microstructure research to develop trading signals and understand execution costs
• Understand, measure, and evaluate the performance of internal and broker execution algorithms
• Collaborate with other team members to implement execution and intraday strategies and proactively provide feedback and ideas for improving our systems and processes

• MS or PhD in a quantitative field such as science, engineering, or finance
• 3+ years of related experience at a bank, asset management, hedge fund, or prop trading firm
• Successful track record of developing intraday alpha signals or execution algos in the Futures or FX space
• Experience working with tick/order book data, microstructure signals, analyzing large datasets, and developing predictive statistical models
• Advanced programming skills in languages suited for quantitative research and strategy implementation – preferably Python and C++
• Experience with execution algos and intraday systematic strategies preferred
• Exposure to machine learning and high-performance computing would be helpful in this role
• Experience with options trading algorithms is a plus

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

Mid‑Senior level

Full‑time

Research, Analyst, and Information Technology

Investment Management

The anticipated base salary range for this position is $175,000 to $250,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits. 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.

No amount of pay is considered…