Software Engineer III, Python Quant Developer- Equities Technology, Prime Services

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