• 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 JPMorgan Chase 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 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 like Kafka, AMPS will be beneficial.