> Markdown version of [/jobs/ext/3859190-python-quant-developer-hft-buildout-leading-multi-strategy-hedge-fund](https://www.wearedevelopers.com/jobs/ext/3859190-python-quant-developer-hft-buildout-leading-multi-strategy-hedge-fund). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Quant Developer - HFT Buildout- Leading Multi-Strategy Hedge Fund - **Company:** Hft - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Algorithmic Trading, C++ (Programming Language), Computer Engineering, Linux, High-Frequency Trading, Python (Programming Language), Information Technology, Feature Extraction - **Published:** October 22, 2026 - **Apply:** https://www.reed.co.uk/jobs/python-quant-developer-hft-buildout-leading-multi-strategy-hedge-fund/57480768 ## About the Role * 3+ years' development experience in systematic trading, HFT or a similar quantitative environment * Excellent Python development skills; C++ experience is beneficial * Strong understanding of Linux and production systems * Understanding of the quantitative research and trading lifecycle * Bachelor's degree (or higher) in Computer Science, Computer Engineering or another quantitative discipline * Motivated self-starter with strong analytical and problem-solving skills Desirable * HFT / low-latency trading experience * Market data, order entry or exchange simulation experience * HPC / distributed compute infrastructure * C++ and/or low-level systems knowledge ## Description They're looking for an exceptional Python Quant Developer to join a small, highly technical engineering team, working directly with systematic Portfolio Managers and Quant Researchers. You'll build and evolve infrastructure across the full quantitative research and trading lifecycle, with current projects spanning intraday signal research, mid- and high-frequency trading, market data, feature extraction, exchange simulation and production trading systems. The environment is highly collaborative and business-facing, with engineers expected to understand the quantitative research process, identify high-impact solutions and take genuine ownership of systems in production.