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!