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 within the Corporate and Investment Banking (CIB), Equities Technology – Prime Services 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
1. Write high-quality Python code for front-office Technology Systems.
2. Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows.
3. Create alignment with stakeholders, both technical and non-technical.
4. Execute 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
5. Develop secure high-quality production code, and review and debug code written by others
6. Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
7. Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
8. Add to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
9. Formal training or certification on software engineering concepts and 5+ years applied experience
10. Bachelor’s Degree in Computer Science or equivalent
11. In-depth knowledge of Capital Markets and Equity Market Microstructure
12. Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis.
13. Advanced proficiency in Python.
14. Strong analytical, quantitative and problem-solving skills.
15. Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps.
Preferred qualifications, capabilities, and skills
16. Hands on experience in Quantitative Trading and/or Market Analysis.
17. Familiarity and prior experience on KDB/q will be beneficial.
18. Knowledge of FIX, Market Data, Order Management Systems will be a strong plus.
19. Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required.
20. Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial.