Join Amazon's Buyer Risk Prevention (BRP) team, recognized as #1 in eCommerce Fraud and Abuse Prevention globally. This role focuses on building sophisticated systems that protect Amazon's customer-first policies while maintaining exceptional customer experience. You'll be part of a team that saves tens of millions of dollars annually through advanced technology implementation.
The position involves working with cutting-edge technologies including machine learning, statistical modeling, data mining, and big data analytics. You'll be developing highly scalable distributed systems that process millions of transactions to prevent abuse while ensuring legitimate customers maintain a seamless experience.
As part of the Buyer Abuse Engineering Team, you'll be at the forefront of protecting Amazon's businesses from customer abuse. The role requires innovative thinking as you'll need to stay ahead of evolving abuse patterns and develop sophisticated detection systems. You'll work with large-scale data systems, implementing predictive variables and machine learning models to prevent fraudulent transactions.
The ideal candidate will combine technical expertise with a customer-first mindset, contributing to a team that balances fraud prevention with maintaining Amazon's high standards for customer experience. This is an opportunity to make a significant impact on Amazon's global operations while working with some of the most advanced technology in the e-commerce security space.
Join us in building the next generation of engineering systems that will shape the future of e-commerce fraud prevention across Amazon's global platform. Your work will directly contribute to maintaining trust and safety in one of the world's largest online marketplaces.