Front Office Java Developer - Algorithm

About the position

Role Overview We are seeking a high-caliber Senior Java Developer with a background in competitive algorithms to join our Front Office technology team. You will work directly on the trading floor, sitting alongside traders and quants to build and optimize high-throughput, low-latency trading engines. The ideal candidate possesses the rare combination of deep Java expertise and the mathematical rigor required to implement complex execution strategies in a "fail-fast" environment. Key Responsibilities Engine Development: Design, develop, and maintain high-performance trading components including order management systems (OMS), pricing engines, and risk monitors. Algorithm Implementation: Translate quantitative strategies into production-ready code, ensuring minimal slippage and maximum computational efficiency. Performance Tuning: Profile and optimize Java applications to achieve sub-millisecond latency, utilizing low-level techniques such as memory mapping and lock-free concurrency. Stakeholder Collaboration: Work closely with the trading desk to gather requirements, provide real-time support for production issues, and deliver rapid-turnaround features. Architecture Evolution: Contribute to the migration toward cloud-native or event-driven architectures to support increasing market volumes. Technical Requirements Java Mastery: 5+ years of professional experience with Core Java (17+), including expert-level knowledge of multi-threading, the JVM memory model, and GC tuning. Algorithmic Background: Strong foundations in data structures and complexity analysis. Experience with competitive programming or mathematical modeling is highly valued. Messaging & Middleware: Proficiency in low-latency messaging frameworks (e.g., Aeron, LMAX Disruptor, or Solace ) and binary serialization protocols. Domain Knowledge: Previous experience in Front Office environments (Equities, FX, or Fixed Income) and familiarity with the FIX Protocol . Infrastructure: Solid understanding of Linux systems, network protocols (TCP/UDP/Multicast), and containerization (Docker/K8s).

Place of work