Senior Java Software Engineer – FX Options Risk (VP)

Overview

In this role you design, build and optimize a high-throughput FX real-time risk system, driving architectural evolution for low-latency processing. You work closely with the FX Options Trading desk to translate business needs into scalable software and contribute to a modern risk platform. You mentor engineers, perform deep technical reviews, and own critical delivery milestones. This position offers impact on front-office risk capabilities within a mission-critical, production-grade environment.

Pay / Benefits

• 27 days annual leave (plus bank holidays)
• discretionary annual bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave`,`Learning and development resources

Responsibilities

• Design and optimize critical FX real-time risk infrastructure with high availability and low latency
• Drive technical deliverables, promote code quality and modern development practices
• Provide architectural input and contribute to strategic direction of the risk platform modernization
• Mentor mid-level and junior engineers through design reviews and guidance
• Serve as SME to FX Options trading desk, translating requirements into software designs
• Partner with front-office stakeholders for fast troubleshooting of real-time system behavior
• Assess risk of technical decisions to ensure security, scalability, and stability
• Contribute hands-on as a primary engineer using the tech stack
• Handle heavy stream processing and highly concurrent data flows

Key requirements

• Extensive enterprise Java development in highly parallel, low-latency or distributed environments
• Strong FX trading, options pricing, or real-time risk systems knowledge (preferred/obligatory)
• Proven IC delivering complex, high-throughput distributed systems in production
• Deep Core Java expertise: multi-threading, memory management, GC tuning, concurrency utilities
• Experience with real-time stream processing and distributed architectures (Kafka, Apache Storm, CouchbaseDB/NoSQL, Spring)
• Familiarity with containerization and cloud (OpenShift/Kubernetes, GCP/AWS)
• Understanding of AI/ML or advanced quantitative analytics in financial systems (plus)
• Excellent communication and collaboration, able to explain technical concepts to non-technical partners

• strong communication
• collaboration
• problem-solving under pressure
• Core Java (multi-threading, memory management, GC tuning)
• Kafka
• Apache Storm

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