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.
#LI-MC1
Perks & Benefits
- Competitive Pay & Bonuses: Competitive compensation, festive, and birthday allowance.
- Holistic Well-being & Balance: Comprehensive insurance, massage services, weekly team lunches, well stocked pantry, dedicated birthday day off.
- Dynamic, Inclusive Culture: Thrive in our flat, open environment where your ideas drive impact. Get involved with exciting company trips, team events, and active sports clubs that foster strong collaboration.
