Lead Software Engineer, 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 Lead 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 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, 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

. 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

To apply for this position, please use the following URL:

https://ars2.equest.com/response_id=df6924f9db4782e5af7de315258bdf25