At Carvana, we’re tackling one of the largest, yet-to-be-disrupted markets in the world – the $1T per year U.S. car market (yes, that’s $Trillion with a “T”). We provide a seamless, 100% online car buying experience for consumers from end-to-end: acquiring, inspecting, and certifying high quality cars, providing 360° high-res photography inside and out of the vehicle, generating real-time financing and warranty options, and delivering the car to our customers’ doors in as little as 24 hours with a 7 day money back guarantee. With no dealerships or commissioned sales people, we save thousands of dollars per car in expenses that we pass on to our customers.
Recently named Forbes’ 5th Most Promising Company in the U.S., we offer the excitement, culture, and opportunity of a start-up, with the capitalization and infrastructure of a much more established business. For more information on Carvana, take a look at our company introduction video.
In this role you will work with large and diverse data sets and utilize statistical modeling tools created both internally and externally to build strategies for managing fraud. You will lead the design, development and execution of a framework that will deliver a great customer experience while minimizing fraud losses. This will involve a close relationship with our underwriting and operations teams to ensure the products you develop will work toward maximizing their efficiency while reducing fraud risk. Additionally, the successful candidate will work directly with our team of Data Scientists, Engineers and Product Managers to leverage their expertise to build and implement a fraud management platform.
REQUIRED SKILLS AND EXPERIENCE
WHAT YOU CAN EXPECT IN RETURN….
Hiring is contingent on passing a complete background check
Carvana is an equal opportunity employer.
This job has been filled or removed by Carvana.
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