Quant jobs / JPMorgan

Lead Software Engineer – AI & Quantitative Development

A senior hands-on developer role in JPMorgan Asset Management technology, building systems for research, portfolio management and investing. It is engineering-led, with quant-adjacent business content.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Design and build production applications for the investment management cycle
Review code and lead adoption of AI-assisted engineering practices
Deliver on AWS with infrastructure as code
Work with portfolio managers and researchers on functional specifications
Evaluate external vendors and tools

What they ask for

Required

5+ years of applied software engineering
Production Java or Python
AWS and Terraform
System design and testing
CI/CD and resilience
Knowledge of financial services IT

Preferred

Spark and Databricks
Data engineering

Education: Formal training or certification in software engineering
Experience: 5+ years applied experience
Languages and tools: Python
Java
Terraform

How to prepare

Build a small research data service on AWS with tests and CI
Learn how portfolio analytics and order management systems fit together
Practise production-quality Python and Java design
Study Spark basics for investment data

What to study

Apply

Read the full posting on JPMorgan’s site before applying: requirements, location and pay can change after we check them.

View the posting on JPMorgan’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with JPMorgan and doesn’t handle applications.