About

We are currently supporting a leading systematic trading firm seeking to hire a Python Quant Developer to join a highly performant team responsible for designing and developing quantitative technology solutions across the business. This is a small, agile team that works closely with the quant research team. The successful candidate will have a strong quantitative development background and hands-on experience building research, analytics, and production trading systems from the ground up. In this role, you will develop Python-based components that integrate with the firm’s primary Java trading system. You will streamline and enhance the quant research workflow particularly around signal generation and backtesting, ensuring efficient collaboration between the research group and the core development team, and reducing duplicated effort. Key Responsibilities Design and build robust Python tools and frameworks to support quantitative research and production trading.Develop interfaces and integration points between Python research environments and Java-based trading systems.Improve research workflows and backtesting infrastructure to accelerate strategy iteration.Work closely with quants, researchers, and developers to understand requirements and deliver scalable solutions. Required Skills & Experience Strong background in quantitative development, ideally within a research environment.Prior experience in a Hedge Fund or Systematic Trading firm is essential.Proven track record of architecting and developing quant systems from scratch .Expert proficiency in production level Python, including NumPy and Pandas.Experience with API development and integration.Knowledge of data pipelines, market data processing, and backtesting workflows.Solid understanding of derivatives, including futures, options