Lead Software Engineer - Rates Risk Engineer

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer in the Rates Tech team within the Commercial & Investment Bank. You will contribute as a core technical contributor, delivering trusted market-leading technology products in a secure, scalable way.

You will lead critical technology solutions across multiple areas to support the firm’s objectives. Responsibilities include designing and developing secure production code, reviewing peers, and guiding the team in AI-assisted development practices,

Qualifications

• Formal training or certification in software engineering with 5+ years of hands-on experience.
• Experience delivering system design, application development, testing, and operational stability.
• Advanced in Python and experience with AI-assisted development tools and validation.

Responsibilities

• Executes creative software solutions and design, with the ability to tackle non-routine problems.
• Develops secure production code and reviews code written by others.
• Drives adoption of AI-assisted engineering practices to improve quality, speed, and reliability.

Skills

5+ years experience

System design

Requirements gathering

Cross-team collaboration

Communication

AI-assisted tooling adoption

Secure coding

SDLC

CI/CD

Security & resiliency

Tools

Python

CI/CD tooling

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank's Rates Tech team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) : Python
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• 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 and willingness to understand and work on legacy applications when required
• Proficiency with relational and NoSQL databases

Preferred qualifications, capabilities, and skills

• Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena
• 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
• Exposure to quantitative finance concepts and market risk measures