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# Lead Software Engineer - Equity Derivatives - Front Office Quant Developer

- **Company:** Jpmorganchase
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Data Integration, Database Queries, Software Debugging, Hibernate (Java), Java Persistence API, Junit, Apache Maven, Software Tools, Software Engineering, Systems Architecture, TypeScript, ReactJS, Spring-boot, Information Technology, Maintaining Code, Spring Batch
- **Published:** September 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/lead-software-engineer-equity-derivatives-front-office-quant-developer/45868566

## About the Role

effective patterns Apply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation value Maintain strong release discipline, including regression assessment, rollback/fallback planning, post-deployment verification, and observability improvements Gather and synthesize data and telemetry to develop reporting and metrics that improve stability, quality, and delivery predictability Identify hidden failure patterns in production and drive improvements in coding hygiene, system architecture, and operational readiness Required Qualifications, Capabilities, and Skills: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Strong software engineering fundamentals with hands-on experience across the software development lifecycle, including system design, development, testing, release, and production support Proficiency in Python, Java, and JavaScript or TypeScript Experience
building and supporting production-grade systems Experience in large-scale enterprise environments, developing, debugging, and maintaining code and data integrations using modern programming and database querying languages Familiarity with engineering frameworks and tooling such as JUnit, Maven, Spring Boot, Spring Data JPA, Spring Batch, and Hibernate Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Strong analytical thinking, structured problem solving, and debugging skills Excellent communication and stakeholder management skills Experience delivering in an
Agile environment, managing multiple priorities and projects, and producing clear documentation Preferred Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts React experience #J-18808-Ljbffr



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