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.
#J-18808-Ljbffr
Real-Time Quant Trading Systems Engineer employer: eFinancialCareers
As a leading global asset manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to work with cutting-edge AI tools that enhance their skills and productivity. Join us to be part of a team that not only drives success but also prioritises employee well-being and growth in a vibrant city.
