Amazon.com`s risk management team has a worldwide reputation as the #1 in ecommerce fraud preventionTrust and safety of our customers comes firstAlwaysWe thrive on maintaining the highest bar of customer experience while we maintain those tenetsDo you want to join a team that uses cutting edge technology including machine learning and statistical modeling techniques, cloud computing services and highly available and scalable distributed systems that supports hundreds of millions of transactions across the globe?
The unified risk evaluation system team owns the charter of evaluating bad actor risk of all kinds (buyer, seller, vendor) across entities such as orders, purchases, signins and any event that will be useful to evaluate risky behaviorWe process every single order and purchase in real time, totaling to more than 50 billion evaluations in a year saving billions of dollars that would otherwise be lost to bad actorsWe build self-service capabilities to experiment new machine learning models and make it easy to onboard and manage 100s of risk use cases all over the worldWe are the gate keepers of customer trust by preventing bad actors from doing damage to good customers or scamming amazonThe problems we solve will challenge the best in terms of scale, ingenuity of bad actors and the cost of making risk decisions through bold goals we take such as automate 100% of risk decisions or reduce fraud and abuse by 50% year over year.
Solid foundation in computer science fundamentals, including data structure and algorithms
Experience developing software services with an understanding of design for scalability, performance, and reliability.
Knowledge of professional software development life cycle best practices, including coding standards, code reviews, source control management, build processes, testing, and operations
Ability to take a project from scoping requirements through actual launch of the project
Excellent verbal and written english communication skills
Basic knowledge of machine learning
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Posted 30+ days ago