Lead Java Engineer (Risk)

Join our team as a Lead Java Engineer in the CDSClear Risk Development team. In this highly hands-on role, you will have significant influence over design and technical direction, and will be responsible for the end-to-end lifecycle of the systems you work on.

About London Stock Exchange

• 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.
• Performance and scalability

Responsibilities

• You will design, implement, and evolve core risk-engine components, contribute to the implementation of quantitative risk models, and provide technical leadership across risk calculation orchestration.
• You will also collaborate with infrastructure, security, and DevOps teams to deliver end-to-end solutions, and participate in third-line system support.
• 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.
• Resilience and recovery
• Java, Spring Boot, Maven, IntelliJ
• Auditability, controls and operational readiness
• Messaging: JMS, ActiveMQ / IBM MQ, Kafka
• Ownership mindset, with a drive to improve quality, robustness and long‑term maintainability of the platform
• Strong understanding of enterprise platform concerns, including:
• Clear communicator with the ability to influence technical decisions through expertise and collaboration

Requirements

• CI/CD: GitLab, JUnit, Mockito, Cucumber
• 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

• 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)

Preferred

• Familiarity with derivatives products, particularly credit derivatives
• Experience working alongside C++ or other native analytics libraries