As a Product Data Analyst for Remitly, you will analyze fraud data, collaborate with teams to develop product strategies, design experiments, and improve fraud management tools. Your role involves building metrics, creating insights, and communicating findings effectively to enhance user experience and mitigate fraud risk.

You will develop machine learning models for fraud prevention, assess transaction risk, and work with engineering teams to implement robust scoring systems. Collaborate with data scientists to adapt to fraud trends, ensuring optimal model performance and feature integration.

The Fraud Data Analyst will analyze lender fraud data, customize solutions to improve the lending experience, and collaborate with product teams to drive product development and enhance customer interactions. This includes risk assessment and designing analytics frameworks for informed decision-making.