Phi Partners International Limited - Bucharest Branch logo

Lead Quantitative Java Engineer

Primary stack

JavaKafkaRedisPostgreSQLSQL ServerMonte CarloDevOpsCI/CDSpringDocker

Nice to have's

PythonProblem SolvingCommunication

Job description

Lead Quantitative Java Engineer

Location: Budapest, Hungary

About the Position

Phi Partners is seeking a Lead Quantitative Java Engineer to join our team in Budapest. As part of our quant & technology teams, you will work on complex, real-world problems across models, analytics, applications, data, and cloud infrastructure.

About the Role and Responsibilities

In this role, you will work closely with key business stakeholders, development, and analytical teams to enhance our clients' Front Office, eTrading & Risk Management Systems. Your main responsibilities will include developing code, blending it together to be run under a single scenario, building various algorithms, and investigating differences in results between potential legacy and newly developed systems.

Key Skills

To be successful in this role, the ideal candidate will combine deep Java engineering expertise with a strong understanding of financial markets and quantitative systems. They should be comfortable building scalable, high-performance applications that support pricing, risk, and analytics workflows in a front-office or risk context.

  • Strong enterprise Java development (JDK 11+), with expertise in JVM internals, memory management, and performance tuning
  • Experience with multithreading, concurrency, and high-throughput systems
  • Hands-on with Spring/Spring Boot, Hibernate/JPA, messaging (Kafka, JMS, Solace), and caching (Redis, Ignite)
  • Skilled in database design and query optimization (PostgreSQL, SQL Server) for analytical workloads
  • Exposure to market data and reference data systems, including ingestion, validation, and distribution
  • Familiarity with pricing, risk, and trade lifecycle concepts across asset classes
  • Able to integrate and productionize quantitative models in collaboration with quants
  • Understanding of numerical techniques such as Monte Carlo simulation, sensitivity analysis, and basic optimization
  • Awareness of data quality practices: anomaly detection, reconciliation, and SLA monitoring
  • Experience with Python or similar for data analysis or prototyping
  • Strong grasp of DevOps and enterprise practices: CI/CD, Docker/Kubernetes, observability, cloud (AWS/Azure)
  • Proven problem-solving ability in capital markets environments, with strong stakeholder communication
  • Experience working in global teams and mentoring junior engineers

About the Company

Phi Partners has been a trusted capital markets consultancy for more than 20 years, providing quantitative and technology expertise across front office, pricing, and risk. We support more than 80 financial institutions across the buy-side and sell-side through niche capabilities spanning quant, engineering, vendor platforms, and cloud infrastructure.

We Offer

  • Opportunity to work closely with expert colleagues and major financial institutions on high-value, business-critical initiatives
  • Exposure to a variety of projects across asset classes and coverage areas
  • International delivery organization built around regional hubs and specialist centers of excellence

Next Steps

This is an excellent opportunity to join a world-leading Front Office & Quantitative technology consultancy which offers the chance to accelerate your career. If you are interested in the opportunity, kindly send a copy of your up-to-date CV via email to [email protected]. We look forward to having a call to discuss this in more detail at your earliest convenience.

Posted on 16th Oct 2026

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