Senior Software Engineer (Java)

We are seeking a Senior Java Engineer to join the team building our real-time market data platform. You will build, optimize, and maintain a high-performance, low-latency system that ingests, normalizes, and computes benchmark 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 financial 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 risk reporting.
• Deliver accurate, timely data feeds and calibration inputs to internal monitoring and control systems; integrate new venue data sources on request to improve market 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, normalization, and cross-source synchronization of external real-time feeds.
• Collaborate with DevOps and infrastructure 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 grasp of data structures, algorithms, and design patterns.
• Strong analytical, problem-solving, and communication skills.

Nice to Haves

• Experience with real-time market data feeds or exchange APIs (REST/WebSocket).
• Familiarity with derivative instrument data (e.g., futures, 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.

Perks & Benefits

• Competitive total compensation package
• Various team-building programs and company events
• Generous professional development budget