Python Senior Lead Software Engineer- Fixed Income Systematic Portfolios

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Python Senior Lead Software Engineer- Fixed Income Systematic Portfolios at JPMorganChase within the 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.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

You will fundamentally change how JPMorganChase Asset Management manages fixed income systematic portfolios, how accounts are constructed, optimized, and scaled day to day.

As a lead in Systematic Portfolio Management Technology, you'll partner with portfolio managers and quants to turn research into production systems that directly drive investment decisions.

You'll build and evolve the platform that powers portfolio optimization and performance insight, from data through to user experience.

The team works on agentic flows - designing intelligent, automated workflows that accelerate research-to-production, reduce friction, and raise the quality bar.

Job responsibilities



* Leads the design and delivery of core systematic portfolio tooling, translating quantitative research and portfolio needs into resilient production platforms.


* Partners with portfolio managers and quantitative researchers to build optimization, risk/exposure, and performance insight workflows that are clear and actionable for stakeholders.


* Drives agentic automated flows across the lifecycle from data to analytics to execution and controls, raising standards for reliability, scalability, and operational excellence.


* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Develops secure and high-quality production code, and reviews and debugs code written by others


* Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.


* Drives decisions that influence the product design, application functionality, and technical operations and processes


* Serves as a function-wide subject matter expert in...