Lead Java Engineer (Risk)
Posted Updated
- 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 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