Lead Java Engineer

Budapest - hybrid work model (2-3 days/week on-site)

Our partner is a leading global IT consultancy firm specializing in capital markets, e-trading and delivering cutting-edge technology services to top-tier financial institutions, from world-renowned investment banks to hedge funds and asset managers. With headquarters in the UK, the firm has expanded across every major continent over the years such as the US, Europe and Asia and is now opening an office in Budapest. Its specialized focus on Quantitative, Front Office, and Risk Technology Services sets it apart as a trusted gateway to the world’s most prestigious financial organizations.

Lead Java Engineer

About the role

You will work on cutting-edge, cross-asset quantitative technology platforms (Front Office & Risk) for a tier-1 investment bank. Built with technologies such as Java and Python, the platform delivers high-performance throughput and powerful analytical capabilities. It spans a wide spectrum of derivative products, delivering advanced analytics through sophisticated algorithmic models to support sales & trading teams as well as risk managers.

The role calls for excellent communication skills and a deep understanding of equity derivatives and/or cross-asset products to collaborate seamlessly with a diverse range of stakeholders.

Responsibilities 

• Cooperate with on-site Subject Matter Expert and business stakeholders to translate requirements into scalable enterprise solutions, while prioritizing and delivering business critical features.
• Design and optimize high-throughput, multi-threaded solutions for strategic cross-asset market data snaps.
• Lead integration and performance tuning of both external (e.g., Refinitiv, Bloomberg) and internal systems to deliver a comprehensive market view for intra-day and end-of-day usage.
• Oversee database migration from MongoDB to PostgreSQL, crafting strategic schemas and queries to meet demanding SLAs.
• Develop and implement robust data-quality frameworks, including validation, anomaly/outlier detection, reconciliation  and monitoring.

Requirements

• Extensive enterprise-level Java development experience (JDK 11+ or newer LTS), with in-depth knowledge of JVM internals, memory management, garbage collection, and performance optimization
• Hands-on expertise with core Java frameworks and libraries, including Spring/Spring Boot, Hibernate/JPA, and advanced multithreading
• Strong background in enterprise messaging and data technologies such as JMS, Kafka, Solace, alongside technologies such as Redis and Apache Ignite
• Practical experience with relational databases (PostgreSQL, SQL Server), covering schema design, indexing, and query tuning for analytics-driven workloads
• Experience of working in a financial services or capital markets environment, delivering enterprise-grade solutions as part of globally distributed teams
• Solid understanding of enterprise engineering practices: fault tolerance, scalability, logging, monitoring, telemetry, CI/CD, containerization, and modern toolchains (Git, Maven, Jenkins)
• Systems and data engineering expertise, including multi-threaded pipelines, large-scale data ingestion, and real-time analytics
• Strong problem-solving mindset with a history of applying practical, battle-tested solutions under real-world constraints
• Demonstrated technical leadership, excellent client-facing communication skills, passion for innovation, and commitment to high standards in code quality and design
• Fluency in English 

Huge plus

• Cloud experience (AWS/Azure)
• Solid knowledge of front-office capital markets technology, covering pricing, risk, and trading systems, event-driven architectures, and the complete trade lifecycle (both pre- and post-trade flows)
• Strong understanding of equity derivatives markets, including vol-surface calibration, marking, and VaR processes
• Expertise in market and reference data solutions, with workflows spanning data snapshots, market definition and construction, storage, and distribution
• Proven experience in developing frameworks for data validation, anomaly detection, and SLA monitoring dashboards

 

Our partner offers

• Competitive salary & bonus
• Private medical insurance, monthly gym & phone reimbursement allowance
• A unique opportunity to join a globally leading Front Office & Quantitative technology consultancy working on innovative projects
• Chance to develop your career while collaborating with a range of top financial institutions

Development & Engineering Leadership