Quantitative Developer
About the role
- Build and maintain systems bridging research and production, enabling fast iteration from concept to deployment
- Develop realistic simulation and backtesting infrastructure that captures latency, market microstructure and real-world constraints
- Define, calculate and manage features across instruments, market regimes and time horizons
- Own feature and signal pipelines, keeping delivery clean and consistent from research through to execution
- Help optimize strategies, weighing expected performance against practical constraints
- Troubleshoot issues end-to-end across research and execution
- 3–7 years in quantitative software development, ideally at a trading firm or systematic fund
- Strong production Python, including data analysis tools (pandas, polars or similar)
- Solid foundation in probability, statistics and time series analysis; familiarity with back-testing and simulation frameworks
- Good understanding of ML as applied to systematic strategies, from research to production
- Low-latency systems experience is a plus
- Comfortable working across both research and engineering teams
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
