You’ll join a front-office electronic trading team responsible for the systems that directly drive execution across EMEA markets.
This is not a support function, you’ll be building and enhancing the algorithmic engines that sit at the heart of the trading stack, working directly with quantitative traders to shape how orders are executed, priced and routed in real time.
The team is actively investing in a next-generation platform designed to handle increasing volumes of market data and client flow, giving you the opportunity to work on both live trading systems and the evolution of the architecture behind them.
Why this role stands out*Direct impact on trading performance - your code influences execution quality, latency and P&L

*True front-office exposure - daily interaction with quants and trading desks

*Low-latency engineering at scale - high throughput, real-time systems with performance as a first-class concern

*Mix of BAU + greenfield - enhancing existing strategy engines while contributing to the next-gen platform build

*End-to-end ownership - from requirements through to production and support

What you’ll actually be doing*Building and enhancing algorithmic trading engines (VWAP, TWAP, SOR, internal crossing)

*Delivering framework-level improvements to a high-performance Java platform

*Working directly with quant traders to translate trading logic into production systems

*Contributing across the full lifecycle - design, build, optimisation and production support

*Driving performance and scalability improvements in a low-latency environment

The tech environment*Core Java (concurrency, NIO, GC tuning)

*Low latency / high throughput systems

*Event-driven architectures

*FIX and market connectivity

*Modern CI/CD tooling

What they’re looking forStrong Java engineers who understand performance, concurrency and real-time systems, ideally with exposure to trading or other latency-sensitive domains.


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