The Rates Live Risk & PnL team delivers real-time trading risk and profit & loss capabilities, partnering closely with traders and desk strategists. You will contribute to 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- Design, develop, and support Python-based live risk and PnL applications used by Rates trading desks
- Work in a fast-paced trading environment, partnering closely with traders and stakeholders to translate business needs into robust technical solutions
- Build secure, high-quality production code with strong focus on correctness, performance, and operational stability
- Contribute to system design and implementation for real-time services, meeting non-functional requirements (latency, throughput, availability)
- Participate in production support, incident management, and continuous improvement of operational readiness (monitoring, alerting, runbooks)
- Collaborate with DevOps and platform partners to improve CI/CD, deployment automation, and environment reliability
- Identify and address technical debt and performance bottlenecks to improve platform scalability and responsiveness
- Collaborate effectively across functions (quants/strats, traders, product, other engineering teams) to deliver end-to-end 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.
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
- Hands-on experience in application development, testing, and operational stability in production environments
- Strong proficiency in Python for building production services and performance-sensitive applications
- Working knowledge of real-time/distributed system concepts (e.g., concurrency, messaging patterns, caching, failure modes)
- Solid understanding of the Software Development Life Cycle (SDLC), engineering hygiene, and secure coding practices
- Experience with CI/CD, observability, and operational excellence (monitoring, alerting, troubleshooting)
- Strong problem-solving skills; ability to learn quickly and deliver high-quality outcomes under time pressure
- Effective communication skills and comfort partnering with front-office stakeholders
- 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.
- 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
- Financial markets background (Rates products, risk, PnL, market data, trade lifecycle)
- Exposure to Deephaven (or similar real-time analytics/UI platforms), including awareness of installation/runtime dependencies (e.g., Java), environment setup, and operational considerations
- Experience with DevOps practices (deployments, release processes, environment management, performance testing)
- Understanding of UI programming (web or desktop) and collaborating across UI/backend boundaries
- 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
Skills Required
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Bachelor's Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
- Hands-on experience in application development, testing, and operational stability in production environments
- Strong proficiency in Python for building production services and performance-sensitive applications
- Working knowledge of real-time/distributed system concepts (concurrency, messaging patterns, caching, failure modes)
- Solid understanding of the Software Development Life Cycle (SDLC), engineering hygiene, and secure coding practices
- Experience with CI/CD, observability, monitoring, alerting, and operational excellence
- Effective communication skills and comfort partnering with front-office stakeholders
- Demonstrated experience leading effective use of approved AI-assisted software development tools and validating outputs
- Strong understanding of responsible AI use, data sensitivity, and secure handling in engineering workflows
- Financial markets background (Rates products, risk, PnL, market data, trade lifecycle)
- Exposure to Deephaven or similar real-time analytics/UI platforms and installation/runtime considerations
- Experience with DevOps practices (deployments, release processes, environment management, performance testing)
- Understanding of UI programming and cross-boundary collaboration between UI and backend
- Familiarity with Java and/or mixed-language environments interacting with JVM-based components
- Experience with event-driven architectures and high-performance data pipelines
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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