Lead Software Engineer - (Core Java with C#/WPF skills), Equities Derivatives Front Office Flow Technology

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The Equities Derivatives Front Office Flow Technology Team is developing the best in class pricing, quoting and market view application for use by our internal trading and sales, enabling them to respond to clients’ requests for quotes as well as automate their end to end workflow. We’re looking for a talented software engineer to join our London team who will help drive the automation agenda, onboard new products onto our platform, drive integration with new innovative AI/ML led autopricers and extend the connectivity with external vendors to increase flow.

As a Lead Software Engineer at JPMorganChase within the Equities Derivatives Front Office Flow Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Work with subject matter experts to develop solutions that meet business the business requirements.

• Develop Java Services integrated in the end to end processing of the derivative products

• Build C#/WPF and JavaScript front-end desktop applications to interface with the Java services

• Build a stable, efficient, scalable cloud based solution which will be deployed globally.

• Design and code a significant amount of a robust, secure and efficient API to persist / retrieve data and implement the business logic

• rives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

• Participation in code reviews and sharing of knowledge with other members of the team.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience in Java

• Strong OO design skills with good knowledge of object modelling and design patterns.

• Experience with development, deployment and maintenance of commercial service oriented application(s)

• Disciplined approach to code management, testing and deployment practices and high quality delivery

• Understanding of how to effectively utilize unit testing

• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) 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 considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

• Great problem solving skills for problems with a mathematical/technological background

• Good communication skills especially when describing problems and explaining solutions

• Ability to work in a fast paced team oriented environment

• Ability to work effectively within a global team (spread across North America, EMEA, APAC etc.) while influencing and contributing towards the development of the global platform

Preferred qualifications, capabilities, and skills

• Knowledge of C#, WPF & .NET, ReactJS and Javascript. Experience with AWS, Kubernetes, Docker or other Cloud technologies

• Business knowledge of simple derivative products (vanilla options, variance swaps, strategies involving vanillas): how these are used, how to price them, how to evaluate risk exposure using Greeks

• Unix or Linux knowledge. Exposure to NoSQL systems (Cassandra, MongoDB .etc.)

• Working knowledge of continuous integration and deployment processes

• Experience with project management. Experience with service oriented platforms, and a good understanding of current generation open source frameworks