Quantitative Research Developer
A hybrid research and development role in the quantitative strategies team of a global macro fund. You write production code for new signals and improve existing ones in futures and FX.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Turn new signals into production-quality code
- Check the accuracy and efficiency of live trading code
- Research improvements to existing futures and FX signals
- Keep simulated and live results aligned through careful procedure
What they ask for
Required
- PhD or MS in a quantitative field
- 2+ years of systematic futures or FX trading on the buy side
- Knowledge of mid-to-low frequency strategies
- Advanced programming, with Python or MATLAB preferred
- Clear written and spoken communication
- Education
- PhD or MS in a quantitative field
- Experience
- 2+ years in systematic futures and/or FX trading on the buy side
- Languages and tools
- Markets
- futures, fx
How to prepare
- Implement a futures signal in clean, tested Python
- Compare back-test and live-style results to find hidden biases
- Study futures roll and FX carry mechanics
- Practise code review habits for research code
What to study
- Quantitative Research, Data and Backtesting
- Python for Quantitative Finance
- Econometrics and Financial Time Series
- Professional Quant Practice
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Graham Capital Management’s site before applying: requirements, location and pay can change after we check them.
View the posting on Graham Capital Management’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Graham Capital Management and doesn’t handle applications.