Lead Java Engineer (Risk)
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 29, 2026. London Stock Exchange scores A on the Alion truth index.
Join our team as a Lead Java Engineer (Risk) and play a crucial role in the development of our risk, pricing, and analytics platforms. You will work on systems that are essential to our clearing service, ensuring correctness, performance, resilience, and operational control. As a highly hands-on individual contributor, you will have significant influence over design and technical direction, and will take ownership of the end-to-end lifecycle of the systems you work on.
Missions
- Act as a Lead Java Engineer within the CDSClear Risk Development team, contributing across all stages of the SDLC.
- Design, implement and evolve core risk-engine components supporting intraday and overnight batch margin calculations.
- Drive evolution of the risk platform, combining incremental improvements with more substantial architectural step-changes, while maintaining a strong focus on delivery, quality and maintainability.
Profil recherché
- Resilience and recovery- Java, Spring Boot, Maven, IntelliJ
- Auditability, controls and operational readiness
- Messaging: JMS, ActiveMQ / IBM MQ, Kafka
- CI/CD: GitLab, JUnit, Mockito, Cucumber
- Performance and scalability
- Ownership mindset, with a drive to improve quality, robustness and long-term maintainability of the platform
- Strong understanding of enterprise platform concerns, including:
- An interest in modern engineering productivity approaches, including the efficient use of AI-assisted tooling (e.g. Copilot-style tools) to aid codebase comprehension, documentation & delivery - applied appropriately within a controlled environment
- Git-based source control
- Clear communicator with the ability to influence technical decisions through expertise and collaboration
- Practical experience contributing to or shaping a risk-engine architecture capable of executing computationally intensive models at scale
- Strong server-side Java engineering experience (Java 11+; Java 17+ preferred) using Spring / Spring Boot
- Linux-based server environments
- Ability to understand quantitative models and make informed implementation trade-offs when integrating them into production systems
- Comfortable working in a regulated / controlled environment with disciplined SDLC and production change processes
- Monitoring and observability tooling in enterprise environments
- Infrastructure-as-code or deployment automation (e.g. Terraform, Ansible)
- Exposure to cloud or hybrid environments (e.g. AWS)
- Familiarity with derivatives products, particularly credit derivatives
- Experience working alongside C++ or other native analytics libraries