About The Role

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Software Engineer at JPMorganChase within the Commercial 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.
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
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 (or Java) with experience of working on large scale event driven systems.
Strong analytical, quantitative and problem-solving skills.
Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.

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