Lead Software Engineer, Quant Developer, Equities Technology - Prime Services Description
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, youare 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
- Write high-quality Python code for front-office Technology Systems.
- Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows.
- Create alignment with stakeholders, both technical and non-technical.
- 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
- Develop secure high-quality production code, and 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 use of new and leading-edge technologies
- Add to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
- Bachelor's Degree in Computer Science or equivalent
- In-depth knowledge of Capital Markets and Equity Market Microstructure
- Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis.
- Advanced proficiency in Python.
- Strong analytical, quantitative and problem-solving skills.
- Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps.
Preferred qualifications, capabilities, and skills
- Hands on experience in Quantitative Trading and/or Market Analysis.
- Familiarity and prior experience on KDB/q will be beneficial.
- Knowledge of FIX, Market Data, Order Management Systems will be a strong plus.
- Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required.
- Data streaming knowledge on frameworks likeKafka,AMPSwill be beneficial.