Quantitative Researcher — Low-Latency Systems & Trading 💡 What if your next role let you build trading systems where C++, Rust and operating-system performance directly determine how quickly trades execute — with trading decisions happening on a single chip? 🚀 Our client — an early-stage trading technology startup founded by engineers from elite quantitative trading firms — is hiring a Quantitative Researcher / Systems Engineer. They're building an entirely new exchange architecture, combining ultra-low-latency trading, performance-critical software and custom hardware to eliminate traditional network bottlenecks. The role: ✅ Build and optimise performance-critical production systems using C++ and Rust ✅ Work on low-level systems programming across memory, concurrency, networking and OS interactions ✅ Develop research infrastructure for short-horizon trading strategies and predictive models ✅ Optimise systems for extreme latency, throughput and computational constraints ✅ Own research and engineering workflows from development through production deployment ✅ Collaborate with hardware engineers to push trading performance beyond traditional software limits Why join? ⚡ Work on cutting-edge low-latency systems where microseconds matter 🧠 Join a highly technical founding team with backgrounds in elite quantitative trading and hardware engineering ⚙️ Work across C++, Rust, operating systems, quantitative research and hardware/software co-design 🚀 Join at an early stage with significant technical ownership 💻 Build greenfield infrastructure rather than maintaining legacy trading systems 📈 Help develop an entirely new approach to electronic trading and exchange infrastructure A traditional quantitative research background isn't essential. We're particularly interested in exceptional C++ / Rust systems engineers who have built performance-critical production software and understand OS fundamentals. 📩 Interested? Apply now! Requirements added by the job poster • 1+ years of work experience with C++ • Doctor of Philosophy