Real-Time Quant Trading Systems Engineer

London-based opportunities in Quant Trading / Research Infrastructure require strong distributed systems experience and deep knowledge of concurrency and reliability. Engineers will work on large-scale compute, scheduling, and storage platforms, delivering low-latency, highly available systems for real-time data processing and research workloads.

Candidates should be proficient in C++, Java, Python, Go, or Rust, with a track record of building scalable infrastructure in demanding environments.