Lead Software Engineer- Python / Quant Developer / Quant Research

JPMorgan Chase & Co.; City of Rochester (NY); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Lead Software Engineer to drive Python-based quant development and research within the Asset and Wealth Management Technology Team. You will contribute as a core technical contributor across the full software lifecycle.

You will collaborate with Quant Research on model development, validation workflows, and building reusable Python libraries that scale production research. Strong Python, statistics, and cloud-native experience are essential.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Hands-on system design, development, testing, and operational stability experience.
• Strong experience with Python coding.
• Experience in financial services across Asset Classes.
• Knowledge of statistical methods, quant/data analytics.
• Proven use of AI-assisted development tools with built-in validation.

Responsibilities

• Executes innovative software solutions, designs, and debugging beyond routine approaches.
• Develops secure, high-quality production code and reviews peers' work.
• Leads AI-assisted engineering adoption and sets validation standards.
• Applies SDLC tools to improve automation and delivery value.
• Identifies and automates recurring issue remediation for stability.
• Leads evaluation sessions with vendors and teams on architecture feasibility.

Skills

Python coding

Statistical methods

Data analytics

Agile methodologies

AI-assisted development

Cloud native experience

Financial services knowledge

Leadership

Tools

CI/CD tools

AI-assisted development tools

Security 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- Python / Quant Development / Quant Research at JPMorganChase within the Asset and Wealth Management Technology 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.

We are looking for developers to contribute to the transformation of the Quant Research Platform and Portfolio Construction and Management stack into an industry-leading platform. If you are an expert in Python, business-focused, and have a strong grounding in statistical methods and data analytics, please apply. You will work alongside Quant Research on model development, validation workflows, and the build-out of reusable Python Quant libraries that standardize research-to-production patterns and accelerate delivery across the platform. You’ll be required to apply your depth of knowledge and expertise across the software development lifecycle, partnering continuously with Quant Research on a daily basis.

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
• Strong experience with Python coding
• Experience in financial Services across Asset Classes
• Knowledge of statistical methods, quant or data analytics
• 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
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• CFA charter holder
• Experience with systematic portfolio management
• Experience with model development, validation workflows, and the build-out of reusable Python Quant libraries