Lead Software Engineer - Quant Developer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase's Asset and Wealth Management 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 delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities


* Execute creative software solutions, design, development, and technical troubleshooting-thinking beyond routine or conventional approaches to build solutions or break down technical problems.


* Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.


* Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.


* Develop secure, high-quality production code; review and debug code written by others.


* Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.


* Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies (including AI-enabled software delivery approaches).


* Add to team culture of diversity, opportunity, inclusion, and respect.


* Promptly investigate and resolve issues, ensuring they do not resurface.


* Continuously update technologies and patterns to keep systems current.


* Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that enable zero-downtime releases and optimize data performance.


* Engineer and operationalize AI-enabled capabilities (e.g., agentic workflows, tool use, orchestration, evaluation/guardrails) to improve developer productivity and/or product functionality.


* Drives 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.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years of hands-on experience in softwa...