Senior Java Developer, Low Latency, FX

JR United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job description

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Senior Java Developer, Low Latency, FX, London

Client:

RE Partners

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

9

Posted:

18.04.2025

Expiry Date:

02.06.2025

Job Description:

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

1. Develop and enhance low-latency, high-throughput trading applications for FX markets.
2. Optimize and fine-tune real-time systems for performance, scalability, and reliability.
3. Work closely with traders, quants, and other stakeholders to design and implement cutting-edge solutions.
4. Ensure adherence to best practices in multithreading, memory management, and garbage collection tuning.
5. Collaborate with global teams to integrate systems and improve existing architectures.
6. Maintain and improve existing Java applications while ensuring code quality and security compliance.
7. Troubleshoot complex performance bottlenecks and implement optimizations.

Required Skills & Experience

1. Strong expertise in Core Java (Java 8+), including concurrency, collections, and JVM performance tuning.
2. Proven experience in low-latency, high-frequency trading systems.
3. FX trading domain knowledge with experience in pricing, risk, and execution systems.
4. Experience with multithreading, garbage collection tuning, and optimizing memory management.
5. Strong understanding of networking, TCP/IP, messaging protocols (e.g., FIX, Kafka, or RabbitMQ).
6. Experience working within banking, hedge funds, or financial institutions.
7. Solid understanding of algorithms, data structures, and system design principles.
8. Familiarity with Linux-based systems and scripting for performance tuning.
9. Strong communication and stakeholder management skills.

Nice-to-Have

1. Experience with Kubernetes, Docker, and cloud-based deployments (AWS/GCP/Azure).
2. Knowledge of Quantitative Finance or Algorithmic Trading Strategies.
3. Exposure to Python or Scala for data analysis or scripting.

We are looking forward to your applications and referrals!