Python Engineer- London
Quant Capital
Overview
In this role you will join a high-profile trading desk to build and support automated trading tools and data-driven workflows. You’ll work closely with traders to develop analytics, risk, and portfolio tools that power ETF pricing and market-making across exchanges. The position blends cutting-edge tech with finance, offering exposure to scalable, low-latency systems and data science applications. You will thrive in a tech-focused, open-culture environment where impactful engineering directly influences trading performance.
Responsibilities- Build and maintain tools to analyze data patterns and support portfolio construction and risk management
- Develop trading systems, rapid application development, and trading algorithms
- Price and break down ETFs and support market-making activities across multiple exchanges
- Provide financial and operational support to the trading desk and collaborate with traders and support staff
- Work on data-driven features and tools to improve latency, reliability and performance
- Support Linux-based development and deployment, and contribute to a data science workflow
- Python with standard data processing libraries: sklearn, NumPy, pandas
- Web development experience: Nginx, Flask, JavaScript
- PostgreSQL
- Linux experience
- Interest in data science
- Experience working in a Linux environment
- 2:1 STEM degree from a redbrick university
- team collaboration
- problem solving
- driven by technology
- Python
- NumPy
- pandas
Reference: WJ-747_30167840