# Lead Java Engineer (Risk) at LSEG

LSEG is hiring a Lead Java Engineer (Risk) in London, United Kingdom. Level rates it Little AI ●○○○; you can [apply on LSEG](https://jobsbylevel.com/go/98b200f2-0ed6-4f5b-9e56-6404cd4c7994?utm_medium=ai-agent).

AI Level 1, AI centrality 0 out of 100. London, United Kingdom.

## Details

- Company: [LSEG](https://jobsbylevel.com/companies/lseg)
- AI level: AI Level 1 (score 0 out of 100)
- Location: London, United Kingdom
- Posted: August 24, 2026
- Apply: https://jobsbylevel.com/go/98b200f2-0ed6-4f5b-9e56-6404cd4c7994?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-java-engineer-risk-at-lseg-a27cb4

## Prepare for this job

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## Description

ROLE PROFILE: CDSClear is responsible for clearing Credit Default Swap (CDS) indices, single names and options across European, US and Asian markets. Risk is a core capability of the service, supporting intraday and overnight batch margin calculations, member‑facing what‑if simulations, and pricing analytics. This contract role sits within CDSClear Risk Technology, focused on the Java‑based risk platform and risk engine that delivers quantitative margin models at scale in a highly regulated environment. ROLE SUMMARY: 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. Key Responsibilities 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 Candidate Profile / Key Skills Essential Strong server‑side Java engineering experience (Java 11+; Java 17+ preferred) using Spring / Spring Boot Ability to understand quantitative models and make informed implementation trade‑offs when integrating them into production systems Practical experience contributing to or shaping a risk‑engine architecture capable of executing computationally intensive models at scale Strong understanding of enterprise platform concerns, including: Performance and scalability Resilience and recovery Auditability, controls and operational readiness Comfortable working in a regulated / controlled environment with disciplined SDLC and production change processes Clear communicator with the ability to influence technical decisions through expertise and collaboration Ownership mindset, with a drive to improve quality, robustness and long‑term maintainability of the platform 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 Technical Environment (Indicative) Java, Spring Boot, Maven, IntelliJ Messaging: JMS, ActiveMQ / IBM MQ, Kafka Linux-based server environments CI/CD: GitLab, JUnit, Mockito, Cucumber Git-based source control Preferred / Nice to Have Experience working alongside C++ or other native analytics libraries Familiarity with derivatives products, particularly credit derivatives Exposure to cloud or hybrid environments (e.g. AWS) Infrastructure-as-code or deployment automation

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