A leading systematic trading firm is looking to hire a Python Quant Developer to join its quantitative technology team, supporting the research, development, and deployment of systematic trading strategies across global markets.
This role sits at the intersection of quant research, data, and engineering, building scalable and reliable platforms used to research, implement, and run systematic strategies in production.
The Role You will work closely with quantitative researchers and portfolio managers to turn research into production-quality trading systems. The focus is on correctness, scalability, and research efficiency rather than ultra-low-latency execution.
Key Responsibilities *Design and develop Python-based research and trading platforms used by systematic strategies
*Partner with quants to productionise models, signals, and portfolio logic
*Build and maintain backtesting, simulation, and data infrastructure
*Develop robust pipelines for market data, alternative data, and reference data
*Ensure trading systems are stable, testable, and well-monitored in live environments
*Contribute to code quality, testing standards, and engineering best practices
Required Experience *Strong experience as a Quant Developer, Systematic Trading Developer, or similar
*Advanced Python programming skills in a production environment
*Experience supporting systematic or quantitative investment strategies
*Solid understanding of data structures, software design, and numerical computing
*Experience working closely with quantitative researchers or portfolio managers
Nice to Have *Experience with pandas, NumPy, SciPy, or similar numerical libraries
*Exposure to portfolio construction, risk models, or factor-based strategies
*Experience with SQL, time-series databases, or big data tools
*Familiarity with Linux-based production environments
*Background in mathematics, statistics, engineering, physics, or computer science
We look forward to hearing from you!