Java eTrading Strategist - Rates Front Office

A leading global investment bank is seeking a Java Developer / eTrading Strategist to join its London Rates eTrading team
. This front-office role sits at the intersection of quantitative research, trading, and technology
, focused on delivering high-performance Java systems for pricing and electronic execution across the bank's global Rates business.
The Role

You will design, build, and optimise low-latency Java components supporting real-time pricing, algorithmic execution, and market connectivity
. Working closely with quants and traders
, you'll transform quantitative models and execution logic into robust, production-grade trading applications. The role requires deep technical expertise and an interest in market microstructure and electronic execution dynamics.

• Engineer low-latency, multithreaded Java applications powering Rates pricing and execution.

• Partner with quants to integrate and enhance pricing models and execution algorithms
  .

• Develop and tune smart order routers, auto-quoting, and market-making components.

• Profile and optimise Java systems for throughput, GC efficiency, and predictable latency
  .

• Implement real-time monitoring, logging, and performance diagnostics
  .

• Collaborate across technology and trading teams to continuously refine execution performance and market response
  .

• Degree in Computer Science, Engineering, Mathematics
  , or a related quantitative field.

• 10+ years' experience in Java development for low-latency or electronic trading systems.

• Deep expertise in Java concurrency, GC tuning, memory management, and NIO
  .

• Strong grasp of market microstructure
  , FIX protocols
  , and order handling
  .

• Proven record of delivering production-grade Java trading platforms in front-office environments.

• Experience in Rates eTrading (cash or derivatives) strongly preferred although open to other asset classes such as Equities and FX.

• Core Java 11+, multithreading, lock-free programming.

• Low-latency messaging (Aeron, Chronicle Queue, Kafka).

• Market-making and execution algo frameworks
  .

• Familiarity with distributed architectures and cloud-native Java
  .

• Direct front-office impact on the Rates eTrading desk.

• Close collaboration with quants and traders on model integration and execution logic.

• Work on cutting-edge low-latency and algo engineering challenges.

• Hybrid setup - around 2 days per month in the London office.

• Competitive compensation and clear progression opportunities.

If you are passionate about Java, pricing, execution, and low-latency trading
, we'd love to hear from you.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.