Software Development Engineer Amazon
Seattle, WA

Job Description

Amazon.com's Transaction Risk Management Services (or TRMS) protects the Amazon bottom line by preventing the bad guys like fraudsters, identity thieves and such elements from entering our front door. You've read the comics. You've watched the movies. You've always wanted to be a force for good over evil. Join Amazon.com's Transaction Risk Management (or TRMS) build services to protect Amazon and its customers by keeping unwanted activities and bad actors off Amazon's platform and marketplace.

It is becoming much more important globally to prevent identity theft, financial fraud, money laundering and terrorist financing. Our team are building best in class, scalable identity verification services that use advanced technologies to solve customer identity verification problems by leveraging both external vendors and Amazon's internal investigation tools.

What makes this space more challenging and interesting is the balance that needs to be maintained with high degree of programmatic pass-rate without compromising the protection to Amazon and Amazon's customers. This is an excellent opportunity to leverage continuous learning from manual decisions for producing ongoing enhanced precision. In 2019, the team is marching towards building a best in class programmatic identity verification service, which eventually is envisioned to be surfaced as an offering outside of Amazon.

About Amazon TRMS and the Customer Information Verification team:

The TRMS (Transaction Risk Management Systems) team has a worldwide reputation as the #1 in eCommerce Fraud, Abuse Prevention and AML. We thrive on maintaining the highest bar of customer experience while we deliver on those tenets. The Customer Information Verification Team, a group within TRMS, strives to protect Amazon businesses exposed to identity fraud by its customers while maintaining the highest level of customer experience for our good customers. This means building highly sophisticated, data-centric systems that can detect abusive patterns across Amazon's huge seller population. We build highly scalable, flexible and distributed systems that utilize the power of data at every step - compute predictive variables and plug into different pipelines to prevent abusive parties to do business with us. By leveraging the advanced technology like machine learning and the data available both internal and external to Amazon, we built the system focusing on identity verification so that we keep fast-growing on Amazon business while still being compliant. As Amazon businesses grow and abusers morph to find new ways to take undue advantage of our liberal policies, our engineers and data scientists are constantly innovating to stay ahead of the game and protect Amazon and our customers.