Job Specifications
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!
About the Company
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