Front Office Software Engineer

Overview

In this role you will build and optimize ultra-low latency Java systems for pricing, risk, and trading within a high-performance market-making stack. You will collaborate with Quants and front-office teams to support live trading and continuously evolve the electronic trading infrastructure. The position emphasizes concurrency, memory management, and scalable design in a fast-paced, London-based environment. This is a hands-on, impact-driven opportunity to shape global trading operations and risk systems while advancing engineering excellence.

Pay / Benefits

• onsite role in London
• high-visibility, performance-driven culture
• career progression into senior technical/leadership roles
• continuous learning and technical excellence
• equal opportunities employer
• close proximity to trading floor and real-time market operations

Responsibilities

• Develop and optimize high-performance Java systems for pricing, risk and trading
• Enhance low latency, high-throughput architecture components
• Apply advanced concurrency and memory management techniques
• Design scalable, resilient systems and contribute to architecture decisions
• Build monitoring, maintenance and performance-diagnostics tooling
• Collaborate with Quants, Financial Engineering, Front Office and Business Operations
• Support live trading, troubleshoot time-critical production issues
• Mentor junior developers and promote best practices in code and design

Key requirements

• Strong hands-on Java development in low latency financial systems
• Deep understanding of performance optimisation, concurrency and JVM internals
• Experience on pricing, risk or electronic trading platforms
• Knowledge of FIX protocol, order routing and broker connectivity (beneficial)
• Strong mathematical and problem-solving mindset
• Experience across FX, Equities, Commodities or Derivatives (preferred)
• Calmness in a fast-paced front-office trading environment
• Experience mentoring engineers and influencing technical direction
• Minimum 2:1 degree in related numerate disciplines

• collaboration with cross-functional teams
• mentorship and coaching
• problem-solving under pressure
• Java 21+
• low-latency programming
• concurrency

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