Senior Lead Software Engineer - Python and Java - Equity Derivatives and Pricing - Front Office Quant Developer

Join us and take your software engineering career to new heights. You’ll have the opportunity to design and deliver market-leading technology products that shape the future of financial services. At J.P. Morgan, you’ll collaborate with talented teams, grow your skills, and make a real impact. We value your expertise and offer a dynamic environment where your ideas drive progress. Be part of a team that supports your growth and celebrates your success.

As a Lead Software Engineer in the Markets Technology team, you will design and deliver secure, stable, and scalable technology solutions that support our business objectives. You’ll work within an agile team, collaborating across functions to create trusted products. You will help shape the architecture and development of complex applications, ensuring high standards and continuous improvement. Your contributions will directly impact our clients and the success of our business.

Job Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting to solve complex problems
• Create secure, high-quality production code and maintain algorithms that integrate with critical systems
• Produce architecture and design artifacts for complex applications, ensuring alignment with design constraints
• Gather, analyze, and synthesize data to develop visualizations and reporting for continuous improvement
• Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture
• Collaborate with front office, operations, and technology teams to gather requirements and align on product specifications
• Develop and maintain project plans, timelines, and documentation to ensure timely delivery
• Conduct thorough testing and validation of new products to ensure compliance with standards and regulations
• Identify and resolve technical or operational issues during onboarding processes
• 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.
• Provide ongoing support and training to stakeholders on new product features and functionalities
• Continuously evaluate and improve onboarding processes for greater efficiency and effectiveness

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on software engineering concepts
• Bachelor’s Degree in Computer Science or equivalent
• Hands-on experience in system design, application development, testing, and operational stability
• Proficiency in Python, JavaScript, Java, Junit, Maven, Hibernate, Spring Boot, Spring JPA, and Spring Batch
• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying languages
• Excellent analytical, problem-solving, and communication skills
• Strong understanding of equity derivatives products, their structure, and associated risks
• Ability to work effectively in a fast-paced, dynamic environment
• 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.
• Project management skills with the ability to manage multiple projects simultaneously
• Overall knowledge of the Software Development Life Cycle

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with modern front-end technologies
• Familiarity with one or more DBMS such as Oracle or MySQL
• Proficiency in relevant programming languages and software tools (e.g., Python, JavaScript, Java)