Quantitative Developer (Python)
Summary
Builds and maintains systems for testing and deploying quantitative trading strategies, using Python and data pipelines in a collaborative research-engineering role.
I m currently working with a leading quantitative trading firm that is looking to add a Quantitative Developer to a highly collaborative research and engineering team.
This role sits at the intersection of quantitative research and software engineering, offering the opportunity to work directly on the systems and infrastructure that support the development, testing, and deployment of systematic trading strategies.
What you9ll be working on:
- Building and enhancing research platforms used to evaluate and deploy quantitative models
- Developing simulation and backtesting environments that closely reflect live market conditions
- Designing and maintaining large-scale data, feature, and signal pipelines
- Partnering closely with researchers and traders to improve strategy performance and execution
- Troubleshooting and optimizing workflows across the full research-to-production lifecycle
What we re looking for:
- 3-7 years of experience in quantitative development, research engineering, or systematic trading technology
- Strong Python development skills and experience working with large datasets
- Background in statistics, probability, machine learning, or time-series analysis
- Experience building research tools, simulation frameworks, or data platforms
- Ability to work closely with both researchers and engineers in a fast-paced environment