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Sr Lead Software Engineer- Non Linear Rates Risk
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-07-04
Listing for:
JPMorgan Chase & Co.
Full Time
position Listed on 2026-07-04
Job specializations:
-
Software Development
Backend Developer, Software Engineer, Python, SQL Developer
Job Description & How to Apply Below
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Sr Lead Software Engineer at JPMorgan
Chase within the Commercial & Investment Bank, we are seeking an experienced Senior Athena Python Rates Senior Lead Software Engineer for the development team to work on Rates Risk and PNL business deliveries and optimization. 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.
- Build and maintain robust software solutions for rates trading activities.
- Collaborate closely with quantitative analysts, traders, risk managers, across middle and back office processing.
- Work to directly support trading operations across multiple Rates products.
- Responsible for developing 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 platform.
- Hands‑on Python development experience
- Strong preference for candidates with financial services background
- 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
- 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
- Willing to provide first class support to the business
- Knowledge of rates products including Swaps, Securities, Options, and Repo
- Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena
- Familiarity with risk methodologies and PnL calculation frameworks
- Experience with distributed systems and real‑time data processing
- Proficiency with relational and No
SQL 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
- Experience using AI tools like Claude, Copilot effectively
- Understanding of Cloud platforms like AWS
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