We are seeking an experienced Senior Python Developer to join our Athena Rates development team to work on a Risk and PnL delivery for Rate Line of Business. In this role, you will design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss analysis for our trading operations.
As a Senior Python Developer on our team, you will build and maintain robust software solutions for rates trading activities. You will collaborate closely with quantitative analysts, traders, risk managers, and Equities technology teams to integrate systems across middle and back office processing. Your work will directly support trading operations across multiple Rates product types starting with Swap Derivative products and Options products.
Job responsibilities
- Develop scalable, performant code that handles large volumes of market data and complex financial calculations. This includes implementing risk metrics, PnL attribution frameworks, and data pipelines that connect trading systems with downstream consumers.
- Participate in architectural decisions, code reviews, and technical design sessions, contributing your expertise to shape the evolution of this automated risk platform.
- 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
- Formal training or certification on software engineering concepts and 5+ years applied Python experience
- Bachelor’s Degree in Computer Science or equivalent
- Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices
- Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases
- Strong verbal and written communication skills with ability to articulate technical concepts to both technical and non-technical stakeholders
- Proven ability to gather requirements from business users and collaborate across multiple teams and functions
- Capability to translate business needs into technical solutions and explain technical constraints in business terms
- Willing to understand and work on legacy applications when required
- 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.
- 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.
- 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
Preferred qualifications, capabilities, and skills
- Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena
- Strong preference for candidates with financial services background
- Knowledge of rates products including Swaps, Securities, Options, and Repo
- Familiarity with risk methodologies and PnL calculation frameworks
- Experience with distributed systems and real-time data processing
- Proficiency with relational and NoSQL databases
- Knowledge of modern development practices including CI/CD pipelines and containerization
- Exposure to quantitative finance concepts and market risk measures
- Understanding of regulatory reporting requirements in financial services
- Working knowledge of usage of Agentic AI in Software analysis , development and testing
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
- Formal training or certification on software engineering concepts and 5+ years applied Python experience
- Bachelor's Degree in Computer Science or equivalent
- Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices
- Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases
- Strong verbal and written communication skills with ability to articulate technical concepts to technical and non-technical stakeholders
- Proven ability to gather requirements from business users and collaborate across multiple teams and functions
- Ability to translate business needs into technical solutions and explain technical constraints in business terms
- Willingness to understand and work on legacy applications when required
- Knowledge and application of SDLC toolchain including enterprise-authorized AI-assisted development and automation capabilities
- Experience driving team adoption of AI-assisted engineering practices and establishing validation standards (secure coding, peer review, automated testing)
- Demonstrated experience leading effective use of approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows including data sensitivity and secure handling of inputs/outputs
- Prior experience with financial risk stack platforms such as SecDB, Quartz, or Athena
- Financial services background
- Knowledge of rates products including Swaps, Securities, Options, and Repo
- Familiarity with risk methodologies and PnL calculation frameworks
- Experience with distributed systems and real-time data processing
- Proficiency with relational and NoSQL databases
- Knowledge of modern development practices including CI/CD pipelines and containerization
- Exposure to quantitative finance concepts and market risk measures
- Understanding of regulatory reporting requirements in financial services
- Working knowledge of Agentic AI in software analysis, development and testing
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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