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Senior Java Developer, Low Latency, FX

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Company
RE Partners
Job location
London, UK
Job type
Full-time
Salary
Undisclosed
Posted
Hosted by
Adzuna

Job details

Low Latency, FX, Banking Location: London (On-site, 5 days a week) Full-time, permanent We are seeking a Senior Java Developer with expertise in Core Java, low-latency systems, and FX trading to join our team. This role is based on-site in the UK, requiring 5 days a week in the office. The ideal candidate will have strong experience in high-performance, real-time financial systems within the banking sector. Key Responsibilities • Develop and enhance low-latency, high-throughput trading applications for FX markets. • Optimize and fine-tune real-time systems for performance, scalability, and reliability. • Work closely with traders, quants, and other stakeholders to design and implement cutting-edge solutions. • Ensure adherence to best practices in multithreading, memory management, and garbage collection tuning. • Collaborate with global teams to integrate systems and improve existing architectures. • Maintain and improve existing Java applications while ensuring code quality and security compliance. • Troubleshoot complex performance bottlenecks and implement optimizations Required Skills & Experience • Strong expertise in Core Java (Java 8), including concurrency, collections, and JVM performance tuning. • Proven experience in low-latency, high-frequency trading systems. • FX trading domain knowledge with experience in pricing, risk, and execution systems. • Experience with multithreading, garbage collection tuning, and optimizing memory management. • Strong understanding of networking, TCP/IP, messaging protocols (e.g., FIX, Kafka, or RabbitMQ). • Experience working within banking, hedge funds, or financial institutions. • Solid understanding of algorithms, data structures, and system design principles. • Familiarity with Linux-based systems and scripting for performance tuning. • Strong communication and stakeholder management skills. Nice-to-Have • Experience with Kubernetes, Docker, and cloud-based deployments (AWS/GCP/Azure). • Knowledge of Quantitative Finance or Algorithmic Trading Strategies. • Exposure to Python or Scala for data analysis or scripting. We are looking forward to your applications and referrals
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