Location: Jersey City, NJ, United States

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

As a Senior Lead Software Engineer at JPMorganChase within the Equities Risk Management 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 applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• 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
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect
• Design and deliver high-performance React interfaces over large-scale real-time datasets, replacing an established fat client platform used by traders across global trading desks
• Work directly with front-office traders to understand requirements, often inferring detailed specifications from existing tools and workflows rather than formal briefs, and iterating rapidly on feedback
• Collaborate closely with the backend services team and external data platform vendors to integrate bleeding-edge data delivery technologies into the frontend stack

 

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced proficiency in React and TypeScript with a track record of building production applications against high-performance, low-latency requirements
• Strong experience with enterprise data grid frameworks (e.g. AG Grid) including virtualisation, server-side row models, and rendering optimisation over large datasets
• Ability to tackle design and functionality problems independently with little to no oversight
• Demonstrated experience working directly with demanding, time-poor end users translating informal requirements and reference implementations into precise, consistent UI solutions
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Background in financial services, particularly trading floor technology, equities, or risk management platforms
• Experience with enterprise design systems such as Salt Design System or similar component libraries, with a focus on consistency and usability over novelty

• Experience migrating users from legacy desktop/fat-client applications to modern web platforms, with sensitivity to performance parity expectations
• Familiarity with real-time data streaming architectures and integration with data platforms such as DeepHaven, KDB, or similar
• Practical use of AI tooling (e.g. Copilot, Claude) in development workflows to accelerate delivery, reverse-engineer existing UX, or generate specifications from reference applications
• Experience mentoring or coaching developers transitioning from backend to frontend development

Build the next-generation real-time risk visualisation platform used by Equities traders globally. This is a hands-on senior IC role you'll work directly with traders, ship high-performance UI over large datasets, and shape the frontend architecture of a platform replacing a much-loved fat client.