What are the responsibilities and job description for the Senior Lead Software Engineer - Python position at JPMorgan Chase?
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.
The 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 Responsibilities:
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Acts as a front office developer within the QES technology team 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 Skills:
- Formal training or certification on software engineering concepts and 5 years applied experience
- Advanced in Python programming language
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Excellent 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 Skills:
- Experience of working in a front office environment within financial services
- Knowledge of Typescript, React
- AWS Knowledge