Senior Software Engineer (Java)

We are seeking a Senior Java Engineer to join the team building our real-time data platform. You will build, optimize, and maintain a high-performance, low-latency system that ingests, normalises, and computes reference values from multiple external data sources. You will work in a fast-paced, collaborative environment with direct impact on the accuracy and reliability of data products consumed across the business.

Responsibilities

• Implement composite reference-value algorithms that remain stable and representative under highly volatile input conditions.
• Build and maintain aggregation methodologies (e.g. volume-weighted, time-weighted, median-based) used in downstream periodic calculations and reporting.
• Deliver accurate, timely data feeds and calibration inputs to internal monitoring and control systems; integrate new data sources on request to improve coverage and resilience.
• Conduct statistical and time-series analysis on high-frequency data to detect anomalies, latency patterns, and data-integrity issues.
• Design low-latency capture, normalisation, and cross-source synchronisation of external real-time feeds.
• Collaborate with devops and infra teams to deploy production-ready Java code on trading systems.
• Backtest and monitor model outputs; propose data-driven improvements to accuracy and robustness.
• Document methodologies and contribute to internal pricing standards across the firm.
• Support business operations, including on-call troubleshooting of pricing issues and onboarding new instrument listings.

Requirements

• Interest in global capital markets and quantitative/systematic data analysis.
• 5+ years of hands-on experience with Java development.
• Experience with real-time or high-throughput data systems.
• Strong understanding of multi-threading, concurrency, and low-latency system design.
• Solid data structures, algorithms, and design patterns.
• Strong analytical and problem-solving skills; clear communication.
• Excellent communication and teamwork skills.

Nice to have

• Experience with real-time market data feeds or external data-provider APIs (REST/WebSocket).
• Familiarity with derivative instrument data (e.g. contract specifications, reference rates).
• Cloud platform experience (AWS).
• SQL and NoSQL databases.
• Python for backtesting, analysis, or tooling.
• Understanding of monitoring, alerting, and control systems for real-time pipelines.
• Spring Boot or similar Java backend frameworks.