AI personalization for 44M+ Chase mobile users.

Led by Mehdi Nadifi during tenure at JPMorgan Chase & Co.

Situation

JPMorgan Chase's mobile app served over 44 million monthly active users, most of whom held cash but had not begun investing. The objective was to change this behavior at scale by providing personalized prompts and educational content to encourage users to consider investing, all within a highly regulated financial environment.

Mandate

Delivered the AI-driven investment personalization engine for the Chase mobile app. Led a cross-functional team of over 15 professionals in engineering, data science, UI/UX, compliance, product, and senior leadership.

What was delivered

The AI personalization engine launched successfully, leading to a measurable increase in qualified investment starts among target user groups. Delivery was achieved within strict compliance and regulatory requirements in a highly scrutinized financial environment.

What this proves

Scale and governance are compatible. An AI system that serves 44 million users within US banking regulations presents challenges similar to those of a GCC enterprise deployment. The required discipline, stakes, and delivery model are comparable.