Payments Fraud Detection Model

Project Overview

Needed a robust fraud detection framework to reduce fraud incidents in the payment gateway system, enhance customer trust, and address concerns about transaction security.

Key Features

• Machine learning-based fraud detection model.
• Seamless integration with the existing payment gateway.
• Addressed customer feedback and pain points around transaction security.

My Role

As the product manager, I:

• Led a cross-functional team of 10 engineers and data scientists.
• Gathered customer insights through surveys to improve the fraud detection model.
• Oversaw the development and implementation of the fraud model.

Results

• Reduced fraud incidents by 35%.
• Increased customer trust and satisfaction by 25%.
• Saved the company $2 million annually in fraud-related losses.

Customer Feedback

Positive feedback on the enhanced transaction security helped improve the overall user experience.

Documentation

• System Architecture Diagram
• Customer Feedback Summary