Real-Time Quant Trading Systems Engineer

eFinancialCareers; Greater London; On-site; GBP 200,000 - 500,000; Full time

Job summary

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.

Qualifications

• Proven experience designing complex distributed systems.
• Strong software engineering fundamentals.
• Experience with high-performance, low-latency environments is a plus.

Responsibilities

• Design and develop large-scale distributed compute platforms.
• Build scheduling and workload orchestration components.
• Provide reliable, observable, high-performance research infrastructure.

Skills

Distributed systems

Concurrency

Reliability

Programming languages

Job description

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.