Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase and be part of a team that accelerates the firm's data and analytics journey. We focus on ensuring data quality and security while leveraging insights to promote decision-making and support commercial goals. Our mission is to modernize compliance using scalable AI, creating systems that intelligently automate data usage decisions.
When someone joins our team within CDAO, they become part of a mission to modernize compliance through scalable and explainable AI. We are building a system that answers the question: "Can I use this data?", not with guesswork, but with prediction/classification, logic, proof, and intelligent automation.
Our work sits at the intersection of applied machine learning, AI reasoning systems, and data governance. We are designing the triage layer of an intelligent decision engine that combines ML-driven classification, LLM-assisted parsing, and formal logic-based verification. This is an opportunity to tackle complex, ambiguous problems that touch every part of the firm's data ecosystem and to build ML solutions that actually make decisions.
The role requires strong software engineering fundamentals combined with machine learning expertise. You'll be working on cutting-edge AI applications in a highly regulated financial environment, building systems that make automated decisions about data usage and compliance. The position offers exposure to enterprise-scale machine learning operations while maintaining high standards for code quality and system reliability.
This is an excellent opportunity for someone passionate about applying AI to solve real business problems, who wants to work with state-of-the-art technology while maintaining professional software engineering practices. You'll be part of a team that values both technical excellence and practical impact, working to transform how one of the world's largest financial institutions handles data governance through intelligent automation.