Currently working with a trading technology firm hiring for a Quant Developer to sit directly alongside traders and quant researchers, focused on developing and optimising ultra-low-latency trading strategies within a high-performance C++ environment. The role is heavily engineering-focused and would suit someone who enjoys working close to the trading stack, owning and improving tick-to-trade performance, and writing production-grade modern C++ in latency-sensitive systems.
Key areas:
Designing and optimising low-latency trading strategies Translating research models into production systems Profiling and performance optimisation across critical paths Multithreading, concurrency and lock-free programming Monitoring live systems and improving observability Working closely with core trading and infrastructure teams on performance improvements
They are looking for someone with:
Strong modern C++ experience (C++17+) Background in performance-critical or latency-sensitive systems Strong systems/programming fundamentals Good understanding of concurrency and multithreaded architectures Exposure to monitoring/debugging live production systems
Nice-to-have exposure includes:
TCP/UDP, multicast or FIX Trading or financial markets AWS/cloud research environments Python/Bash tooling
The environment is highly collaborative and engineering-led, with a strong focus on ownership, performance and direct impact on live trading systems….