Lead Software Engineer- Python / Quant
About The Position
As a Lead Software Engineer in JPMorganChase’s Asset and Wealth Management Technology team, you will contribute to an agile team that builds, enhances, and delivers secure, stable, and scalable technology products. The role supports the transformation of the Quant Research Platform and Portfolio Construction and Management stack into an industry-leading platform. You will work closely and daily with Quant Research on model development, validation workflows, and reusable Python Quant libraries that standardize research-to-production patterns and accelerate delivery. You will apply expertise across the software development lifecycle while supporting business objectives and improving the quality, speed, and operational stability of technology delivery.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- Hands-on experience delivering system design, application development, testing, and operational stability.
- Strong Python coding experience.
- Financial services experience across asset classes.
- Knowledge of statistical methods, quantitative methods, or data analytics.
- Demonstrated experience leading effective use of approved AI-assisted software development tools for activities such as coding, code review, test acceleration, or troubleshooting, and setting expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations; experience coaching engineers on safe, compliant adoption.
- Proficiency across the software development lifecycle.
- Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
- In-depth knowledge of the financial services industry and its IT systems.
- Practical cloud-native experience.
Nice To Haves
- CFA charter holder.
- Experience with systematic portfolio management.
- Experience with model development, validation workflows, and building reusable Python Quant libraries.
Responsibilities
- Design, develop, and troubleshoot creative software solutions, including addressing technical problems beyond routine approaches.
- Develop secure, high-quality production code and review and debug code written by others.
- Lead adoption of enterprise-authorized AI-assisted engineering practices, setting standards for validating outputs through secure coding, peer review, and automated testing.
- Use software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
- Identify opportunities to eliminate or automate remediation of recurring issues and improve operational stability.
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architecture, technical credentials, and applicability to existing systems and information architecture.
- Partner daily with Quant Research on model development, validation workflows, and reusable Python Quant libraries.
Benefits
- Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
