Carvana is hiring a

Fraud Risk Manager

Phoenix, United States

ABOUT CARVANA

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.

 

JOB DESCRIPTION:

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.

 

 RESPONSIBILITIES:

  • Design, implement, manage and monitor state of the art fraud risk decisioning strategies to manage risk while improving the customer experience
  • Work closely with our underwriting team to understand their fraud challenges and develop tools to streamline the underwriting process
  • Communicate concise requirements to the Data Science, Engineering and Product teams to implement fraud strategies
  • Develop reporting used to monitor and present fraud risk trends and customer impacts of risk mitigation strategies to company stakeholders
  • Ability to conduct rigorous statistical analysis using myriad large data sources to uncover, understand and mitigate fraud risk while driving improvements in customer experience
  • Support and lead ad-hoc analytical projects in credit risk and marketing
  • Perform in-depth modeling audits, including process evaluations of modeling related activities such as data quality, model performance tracking, and model governance policy
  • Work directly with external data and model vendors. Identify, evaluate and recommend products and solutions to maintain and enhance a first-in-class platform

 

REQUIRED SKILLS AND EXPERIENCE

  • 4+ years of quantitative experience in fraud and risk management
  • Bachelor’s degree in Economics, Finance, Statistics, Operations Research, Mathematics or related quantitative discipline. MS a plus.
  • Strong SQL experience is a must
  • Knowledge of Tableau a plus
  • Strong project management skills – you’re able to coordinate the efforts of multiple teams to effect your vision of a best-in-class underwriting system
  • Strategic mindset - you’re comfortable thinking a few steps ahead of where the team is at now.
  • Experience with R, SAS and Python a plus                                                                     

 

WHAT YOU CAN EXPECT IN RETURN….

  • A full-time, salaried position
  • Medical (employee medical fully paid by Carvana), Dental, and Vision benefits
  • A 401K with company match
  • All the perks your heart desires (gym, snacks, iced coffee on tap)
  • Access to opportunities to expand your skill set and share your knowledge with others across the organization

 

LEGAL STUFF

Hiring is contingent on passing a complete background check 

Carvana is an equal opportunity employer.