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.
Key Responsibilities
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.
Candidate Profile
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.
Preferred Technical Skills
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.
What's on Offer
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.