lead software engineer (quant developer)
Sep 8, 2026 · JPMorganChase
What you'll do
- Design and execute creative software solutions including architecture, development, and technical troubleshooting
- Develop secure, high-quality production code and review and debug code written by others
- Build and maintain core systems and frameworks using KDB+/Q and Python ensuring reliability and performance
- Serve as a subject matter expert providing technical guidance across the engineering community
- Champion firmwide frameworks, tools, and Software Development Life Cycle practices
- Mentor junior team members to foster learning and technical excellence
- Partner with Product team to translate business requirements into scalable technical solutions
- Drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operations
- Apply SDLC tools and AI-assisted development capabilities to enhance automation value
- Contribute to a team culture based on diversity, inclusion, and mutual respect
Key requirements
- Proficiency in KDB+/Q and Python for production system development
- Expertise in Software Development Life Cycle and agile methodologies including CI/CD
- Experience in system design, application development, testing, and operational stability
- Hands-on use of enterprise-authorized AI-assisted software development tools with critical evaluation skills
- Knowledge of secure coding practices and responsible AI use in engineering workflows
- Skill in mentoring, code review, and technical troubleshooting
- Computer Science / Computer Engineering / Mathematics
About the job
As a Lead Software Engineer (Quant Developer) at JPMorganChase within the Commercial & Investment Bank's Electronic Trading Data Analytics team, you will be an integral part of an agile, global team building and enhancing trusted, market-leading technology products in a secure, stable, and scalable way. You will work on greenfield projects that analyze large volumes of data generated by the firm's trading engines, playing a pivotal role in shaping the next generation of analytics applications within the Equities division. As a core technical contributor, you will drive critical technology solutions across multiple technical areas in support of the firm's business objectives.
Job Responsibilities
Design and execute creative software solutions, including architecture, development, and technical troubleshooting, thinking beyond conventional approaches to solve complex problems
Develop secure, high-quality production code while reviewing and debugging code written by others to maintain engineering excellence
Build and maintain core systems and frameworks using KDB+/Q and Python, ensuring reliability and performance at scale
Serve as a subject matter expert in one or more areas of focus, providing technical guidance across the broader engineering community
Actively champion firmwide frameworks, tools, and Software Development Life Cycle practices as an advocate within the engineering community
Mentor junior team members, fostering a culture of learning, growth, and technical excellence
Partner with the Product team to translate new business requirements into scalable, well-designed technical solutions
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Contribute to a team culture grounded in diversity, inclusion, opportunity, and mutual respect
Required Qualifications, Capabilities, and Skills
Formal training or certification on software engineering concepts and advanced applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced proficiency in KDB+/Q and Python for building and maintaining production-grade systems
Proficiency across all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security practices
Degree in Computer Science, Computer Engineering, Mathematics, or a related technical field
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
Preferred Qualifications, Capabilities, and Skills
Familiarity with cloud infrastructure (AWS) and containerization technologies
Experience with Python data and scientific computing packages such as pandas, polars, NumPy, SciPy, or PyTorch
Experience working with tick data and real-time data feeds in a trading or financial markets context
Familiarity with workflow orchestration tools such as Airflow or pykx for building data pipelines
Experience with C++ for building low-latency components
Familiarity with FIX protocol, order types, and equities market microstructure
About the company
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the company
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.