Senior Lead Software Engineer, Risk Management, Equities Technology Prime Services

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

As aSenior Lead Software Engineer at JPMorganChase within the Corporate & Investment Bank (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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applicationspartnering closely with front-office stakeholders to improve trading and execution workflows.

Job Responsibilities

• Write high-qualityPythoncode forfront-office technology systemssupporting Prime Services.
• Collaborate closely withTradersandQuantitative Researchersto deliver solutions that enhance trading and execution workflows.
• Create alignment with stakeholders both technical and non-technical to drive clarity on requirements delivery approach and outcomes.
• Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors.
• Executes 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.
• Develops secure and high-quality production code and reviews and debugs code written by others.
• Drives decisions that influence product design application functionality and technical operations and processes.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• 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.
• Serves as a function-wide subject matter expert in one or more areas of focus.
• Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle;leads communities of practiceto drive awareness and use of new and leading-edge technologies.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 7 years applied experience(or follow applicable local country guidance where required).
• Hands-on practical experience delivering system design application development testing and operational stability.
• Advanced proficiency in Python.
• In-depth knowledge acrossfinancial asset classesand theirrisk managementconcepts.
• 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-authorizedAI-assisted software development tools(e.g. for coding code review test acceleration troubleshooting) and setting 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.
• Ability to tackle design and functionality problems independently with little to no oversight.
• Practical cloud native experience.

Preferred qualifications capabilities and skills

• Prior experience withAthena / SecDB / Quartz / Beaconplatforms
• Data streaming knowledge on frameworks likeKafkaandAMPS.