Lead Python Quant Engineer – Research & Platform Dev

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

Job summary

JPMorganChase in New York seeks a Lead Software Engineer specializing in Python for quant development and research. You will contribute to transforming the Quant Research Platform and build reusable Python libraries, collaborating daily with Quant Research on models and validation workflows.

You will drive AI-assisted engineering practices, ensure secure, scalable production code, and participate in architecture evaluations with vendors and teams across the firm.

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years of applied software development experience.
• Strong Python coding experience.
• Experience in financial services across Asset Classes.
• Knowledge of statistical methods and data analytics.
• Experience with AI-assisted development tools and secure coding practices.

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

Skills

Python

Quant Development

Quant Research

Statistical methods

Data analytics

AI-assisted development tools

CI/CD

Cloud native

Security

Agile methodologies

Financial services

Tools

Mentions enterprise SDLC tools

Job description

JPMorganChase in New York seeks a Lead Software Engineer specializing in Python for quant development and research. You will contribute to transforming the Quant Research Platform and build reusable Python libraries, collaborating daily with Quant Research on models and validation workflows.

You will drive AI-assisted engineering practices, ensure secure, scalable production code, and participate in architecture evaluations with vendors and teams across the firm.