As a Lead Software Engineer at JPMorganChase within Global Technology, you will lead and mentor an agile team to architect, design, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. In this role on the Rates Live Risk & PnL team, you will build and operate low-latency, high-availability Python applications used directly by Rates trading desks for intraday risk, PnL, and decision support in a fast-paced, front-office environment.
The Rates Live Risk & PnL team delivers real-time trading risk and profit & loss capabilities, partnering closely with traders and desk strategists. You will own critical components across the stack—from data ingestion and calculation services to UI and operational tooling—ensuring performance, correctness, and resiliency under tight timelines and high business impact.
Job Responsibilities
- Lead the design and development of Python-based live risk and PnL applications, driving continual, iterative improvements across product teams
- Partner directly with Rates traders and stakeholders to translate business needs into reliable, low-latency technical solutions
- Drive decisions on software solutions, architecture, design, development, and technical troubleshooting with a focus on strategic direction and production excellence
- Design and implement secure, high-quality production code, with a strong focus on correctness, performance, and operational stability
- Own architecture and design artifacts for complex, real-time systems, ensuring non-functional requirements (latency, throughput, availability) are met
- Build and improve monitoring, alerting, and operational runbooks, and participate in production support/incident management as needed
- Collaborate with DevOps and platform partners to improve CI/CD, deployment automation, and environment reliability
- Mentor and coach junior and mid-level engineers through code reviews, technical guidance, and best-practice standards
- Identify systemic issues (technical debt, performance bottlenecks, data quality gaps) and drive remediation aligned to long-term platform goals
- Influence and shape a team culture of diversity, opportunity, inclusion, and respect
- 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.
Required qualifications, capabilities, and skills
- Hands-on experience in system design, application development, testing, and operational stability with a track record of leading complex technical initiatives
- Advanced proficiency in Python, including building production services and performance-sensitive applications
- Strong understanding of real-time/distributed system concepts (e.g., concurrency, messaging/streaming patterns, caching, failure modes)
- Experience delivering software in a large corporate environment with strong engineering standards (testing, code quality, security, SDLC)
- Practical experience with CI/CD, application resiliency, and secure engineering, including production monitoring and incident response
- Proven ability to lead technical design discussions, mentor engineers, and partner effectively with business stakeholders
- Strong problem-solving skills and ability to learn quickly and deliver high-quality outcomes under time pressure
- 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 engineers on safe, compliant adoption within delivery practices
Demonstrated experience leading effective use of approved AI-assisted software development tools (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.
Preferred qualifications, capabilities, and skills
- Financial markets background (Rates products, risk, PnL, market data, trade lifecycle)
- Exposure to Deephaven (or similar real-time analytics/UI platforms) and its ecosystem, including installation/runtime dependencies (e.g., Java) and related operational considerations
- Experience with DevOps practices for low-latency services (deployments, observability, capacity/performance testing, environment management)
- Understanding of UI programming (web or desktop) and collaborating across UI/backend boundaries to deliver trader-facing workflows
- Familiarity with Java and/or mixed-language environments where Python services interact with JVM-based components
- Experience with event-driven architectures and high-performance data pipelines used in front-office systems
About UsJ.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.
Skills Required
- Hands-on experience in system design, application development, testing, and operational stability, leading complex technical initiatives
- Advanced proficiency in Python, including building production services and performance-sensitive applications
- Experience building low-latency, high-availability applications used by trading desks or front-office systems
- Strong understanding of real-time and distributed system concepts (concurrency, messaging/streaming patterns, caching, failure modes)
- Experience delivering software in a large corporate environment with strong engineering standards (testing, code quality, security, SDLC)
- Practical experience with CI/CD, application resiliency, production monitoring, and incident response
- Proven ability to lead technical design discussions, mentor engineers, and partner effectively with business stakeholders
- Strong problem-solving skills and ability to deliver high-quality outcomes under time pressure
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling
- Demonstrated experience leading approved AI-assisted software development tools and establishing validation standards
- Financial markets background (Rates products, risk, PnL, market data, trade lifecycle)
- Exposure to Deephaven or similar real-time analytics/UI platforms and related operational considerations
- Experience with DevOps practices for low-latency services (deployments, observability, capacity/performance testing)
- Understanding of UI programming and collaboration across UI/backend boundaries for trader-facing workflows
- Familiarity with Java and mixed-language environments where Python interacts with JVM-based components
- Experience with event-driven architectures and high-performance data pipelines used in front-office systems
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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