
Software Engineer III, Python Quant Developer- Equities Technology, Prime Services
at J.P. Morgan
Posted 13 days ago
No clicks
- Compensation
- Not specified
- City
- Singapore
- Country
- Singapore
Currency: Not specified
Join JPMorgan Chase's Equities Technology - Prime Services as a Software Engineer with a Python focus, collaborating with traders and quants to enhance the Quantitative Optimization Framework and trading workflows. You will own features from requirements through production, develop secure production-grade Python code, and troubleshoot complex problems while driving operational stability. The role also involves leading communities of practice to promote new and leading-edge technologies, with a focus on delivering scalable and secure software solutions in a fast-paced environment. Location is Singapore and requires 5+ years of software engineering experience with strong Python and capital markets knowledge.
Location: Singapore
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a 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
- Write high-quality Python code for deploying features and enhancements to our Quantitative Optimization Framework.
- Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows
- Take ownership of features from requirements through to production.
- Execute creative software solutions, design, develop, and technical troubleshoot 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
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
- Knowledge of Capital Markets and Equity Market Microstructure
- Knowledge of electronic trading workflows across pre-trade analytics, execution algorithms and post-trade analysis
- Advanced proficiency in Python
- Strong analytical, quantitative and problem-solving skills.
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 like Kafka, AMPS will be beneficial





