Software Engineer III, Python Quant Developer- Equities Technology, Prime Services
Python quant developer on JPMorganChase's Equities Technology Prime Services team in Singapore, building and deploying features for the firm's Quantitative Optimization Framework. Works closely with traders and quant researchers on trading and execution workflows; core stack is advanced Python, with KDB/q, FIX, and Kafka/AMPS experience valued.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Formal training or certification in 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
Nice to have
- Hands-on experience in Quantitative Trading and/or Market Analysis
- Familiarity and prior experience with KDB/q
- Knowledge of FIX, Market Data, Order Management Systems
- Prior experience with SecDB / Athena / Quartz platforms
- Data streaming knowledge on frameworks like Kafka, AMPS
Full 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 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 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