Careers Vacancies Lead Quantitative Java Engineer Lead Quantitative Java Engineer About Phi Partners 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. Our teams work on complex, real-world problems across models, analytics, applications, data and cloud infrastructure, within an international delivery organisation built around regional hubs and specialist centres of excellence. For people who enjoy technically demanding work in capital markets, Phi offers the opportunity to work closely with expert colleagues and major financial institutions on high-value, business-critical initiatives. About the Practice As part of our partnerships with various clients, we are currently expanding our quant & technology teams to keep pace with the rapid growth in this business. Our consultants gain exposure to a variety of projects across asset classes as well as coverage areas (such as front office, pricing & analytics, risk methodology, model validation and more), with each project typically taking 12 to 18 months. As a firm we engage in a wide range of services including but not limited to: Front office development and engineering (including directly supporting the trading desks, Pricing & Risk engines) Quantitative development which includes refining and optimising the code developed by model developer. Quantitative IT work such as improving the backend infrastructure and computation platform About the Role and Responsibilities The consultant will be working closely with key business stakeholders, development, and analytical teams to understand the business requirements and work towards enhancing our clients Front Office, eTrading & Risk Management Systems. Main responsibilities will include developing code, blending it together to be run under single scenario, building various algorithms, along with investigating and explaining 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 optimisation (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 productionise quantitative models in collaboration with quants Understanding of numerical techniques such as Monte Carlo simulation, sensitivity analysis, and basic optimisation 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 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 by working with multiple elite financial institutions. If you are interested in the opportunity, kindly send a copy of your up-to-date CV via email to fortsrecruitment@phipartners.com. We look forward to having a call to discuss this in more detail at your earliest convenience. #LI-Hybrid Related Jobs Lead Java Developer Senior Python Developer Quantitative Developer / IT Quant (Experienced Hires) Quantitative Analyst (Experienced Hires) Quantitative Developer (Experienced Hires) View more