About

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 strategiesPartner with quants to productionise models, signals, and portfolio logicBuild and maintain backtesting, simulation, and data infrastructureDevelop robust pipelines for market data, alternative data, and reference dataEnsure trading systems are stable, testable, and well-monitored in live environmentsContribute to code quality, testing standards, and engineering best practices Required Experience Strong experience as a Quant Developer, Systematic Trading Developer, or similarAdvanced Python programming skills in a production environmentExperience supporting systematic or quantitative investment strategiesSolid understanding of data structures, software design, and numerical computingExperience working closely with quantitative researchers or portfolio managers Nice to Have Experience with pandas, NumPy, SciPy, or similar numerical librariesExposure to portfolio construction, risk models, or factor-based strategiesExperience with SQL, time-series databases, or big dat