Lead Java Engineer (Risk)

• The role is suited to experienced engineers who have worked on risk, pricing or analytics platforms in an investment bank, CCP or similar financial services environment
• You will work on systems that sit at the core of the clearing service, where correctness, performance, resilience and operational control are essential
• You will help build and implement the platform components and execution patterns that allow quantitative risk models to run reliably in production, contributing directly to both system behaviour and overall platform direction
• This is a Lead Individual Contributor (IC) role: highly hands‑on, with significant influence over design and technical direction, and an expectation of strong ownership across the end‑to‑end lifecycle of the systems you work on
• 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
• Contribute to the implementation of quantitative risk models by translating analytic requirements into production‑grade system behaviour
• Provide technical leadership across Risk calculation orchestration
• Integration of market data, trade data, reference data and model parameters
• Performance, scalability, determinism and failure handling
• Own delivery of business requirements through development, testing and controlled production release
• 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
• Collaborate with infrastructure, security and DevOps teams to deliver end‑to‑end solutions
• Participate in third-line system support, including out-of-hours rota where required

Resilience and recoveryJava, Spring Boot, Maven, IntelliJAuditability, controls and operational readinessMessaging: JMS, ActiveMQ / IBM MQ, KafkaCI/CD: GitLab, JUnit, Mockito, CucumberPerformance and scalabilityOwnership mindset, with a drive to improve quality, robustness and long‑term maintainability of the platformStrong 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 environmentGit-based source controlClear communicator with the ability to influence technical decisions through expertise and collaborationPractical experience contributing to or shaping a risk‑engine architecture capable of executing computationally intensive models at scaleStrong server‑side Java engineering experience (Java 11+; Java 17+ preferred) using Spring / Spring BootLinux-based server environmentsAbility to understand quantitative models and make informed implementation trade‑offs when integrating them into production systemsComfortable working in a regulated / controlled environment with disciplined SDLC and production change processesMonitoring and observability tooling in enterprise environmentsInfrastructure-as-code or deployment automation (e.g. Terraform, Ansible)Exposure to cloud or hybrid environments (e.g. AWS)Familiarity with derivatives products, particularly credit derivativesExperience working alongside C++ or other native analytics libraries