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 JPMorgan Chase within Quantitative Execution Strategies Tech, 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 building critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.Team OverviewThe QES (Quantitative Execution Strategies) infrastructure supports the execution of cross‑markets intraday trading strategies. It is a large growth area for JP Morgan’s markets franchise, and will see significant additional investment over the next year to further our excellence in the business. The team's responsibility includes the design, build and support of the platform. The work requires close collaboration with our front office partners from sales, trading and quantitative research.Job ResponsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high‑quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologiesActs as a front office developer within the QES technology team.Collaborates closely with front office teams (trading, structuring) to support the QES platform.Develops platform and visualization components required by the desk.Utilizes principal technologies such as Java, Python and TypeScript (React) within the team.Required Qualifications, Capabilities, and SkillsFormal training or certification on software engineering concepts and proficient advanced experienceHands‑on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in Python programming languageExcellent analytical skills (i.e. problem solving)Experience in leading an agile delivery team leveraging scrum, sprint planning, retrospectives and reporting progress to senior stakeholders.Preferred Qualifications, Capabilities, and SkillsExperience of working in a front office environment within financial servicesKnowledge of Java, Python, Typescript, React #J-18808-Ljbffr