Join us to shape the future of equity derivatives trading through technology. You’ll partner closely with trading desks, technology teams, and Quantitative Research to deliver impactful solutions. We offer a dynamic environment where you can propose and explore new ideas, automate processes, and collaborate globally. Your work will directly influence business transformation and provide opportunities for career growth. Be part of an agile, delivery-focused team that values creativity and excellence.
As a Lead Software Engineer in the Equities Front Office Trading and Analytics Team, you will lead the Systematic Quoting Platform workstream for EMEA. You will develop and enhance applications critical to the business, working closely with trading, sales, and Quantitative Research teams. Your expertise in Python and agentic development will drive automation and innovation. You will contribute to a global platform, ensuring stability and delivering high-quality solutions. This role offers the chance to make a meaningful impact in a fast-paced, collaborative environment.
Job Responsibilities:
- Develop and enhance applications for equity derivatives trading and analytics
- Partner with trading desks, technology teams, and Quantitative Research to deliver solutions
- Lead the Systematic Quoting Platform workstream for EMEA
- Maintain and improve the existing technology stack to ensure stability
- Automate Front Office processes and functions using technology solutions
- Collaborate with global and local counterparts to solve business problems
- 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.
- Participate in business transformation projects across analytics, marking, and publishing
- Propose and explore new solutions to drive competitive advantage
- Apply disciplined code management, testing, and deployment practices
Required Qualifications, Capabilities, and Skills:
- Hands-on experience with systematic trading technology platforms
- Proven ability to develop, deploy, and maintain commercial service-oriented applications
- Strong Python skills and familiarity with agentic development (ADLC)
- Business knowledge of simple derivative products (vanilla options, variance swaps, strategies involving vanillas)
- Understanding of pricing and risk evaluation using Greeks
- Experience with at least one modern programming language (Python, Java, etc.)
- Knowledge of at least one relational database (Sybase, SQL Server, Oracle, etc.)
- 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
- Effective utilization of unit testing
- Experience across the full project lifecycle
Preferred Qualifications, Capabilities, and Skills:
- Equities business knowledge or relevant experience in other business areas. Unix or Linux knowledge
- Working knowledge of continuous integration and deployment processes
- Experience with project management
- Familiarity with service-oriented platforms and current generation open source frameworks
Skills Required
- Hands-on experience with systematic trading technology platforms.
- Proven ability to develop, deploy, and maintain commercial service-oriented applications.
- Strong Python skills and familiarity with agentic development (ADLC).
- Business knowledge of simple derivative products (vanilla options, variance swaps, vanilla strategies).
- Understanding of pricing and risk evaluation using Greeks.
- Experience with at least one modern programming language (Python, Java, etc.).
- Knowledge of at least one relational database (Sybase, SQL Server, Oracle, etc.).
- Demonstrated experience leading effective use of approved AI-assisted software development tools and setting validation expectations.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity and security.
- Effective utilization of unit testing.
- Experience across the full project lifecycle.
- Equities business knowledge or relevant experience in other business areas.
- Unix or Linux knowledge.
- Working knowledge of continuous integration and deployment processes.
- Experience with project management.
- Familiarity with service-oriented platforms and current generation open source frameworks.
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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