About the Role
We build cutting edge real-time fraud detection and prevention systems that scale to millions of users leveraging large scale data, distributed systems, and advanced machine learning technologies.
The candidate will lead the problem identification and formulation, software design and architecture, and guide cross-functional product and engineering teams to deliver high impact technology solutions to address complex problems in risk and fraud domains.
About the Team
At Risk Product Engineering we tackle the challenging problem of fraud & abuse across the entire Uber Product space. We combine the power of human and machine intelligence to prevent fraud, abuse and anomalous behavior in the extended Uber Marketplace and drive down payment fraud loss across Uber payment instruments at global scale. We build scalable real-time fraud prevention systems that make billions of decisions every day and manage the transaction risk of billions of dollars worth every year.
As an engineer on this team, you will work with a talented and highly collaborative cross functional team of Engineers (backend and machine learning engineers), Risk Analysts, Data Analysts, Data Scientists, and Product. We're nimble and efficient, and we like to have fun!
What You'll Do

• Design and develop scalable solutions to address fraud and abuse problems as well as drive better user experiences across Uber Products and Lines of Businesses
• Work with cross functional teams (Product Managers, Data Scientists/Analysts, Program engineers, Machine Learning Engineers) to identify any product/functionality gaps, define the problem space, contribute to product requirement, design and develop system solutions.
• Contribute to longer term technical roadmap and drive overall system architecture betterment for Risk product Engineering
• Provide thought leadership including challenge the status quo when needed.
• Be an owner and strive for excellence in your role

Basic Qualifications

• Bachelor's degree in Computer Science or related technical discipline (or equivalent experience) w/ 8+ years experience.
• Strong analytical and problem-solving skills. Taking on challenge problems and driving solutions.
• Capable of creating structure and driving progress in an ambiguous environment
• Demonstrated ability to contribute to long term technical vision, to scope, create and successfully deploy new technical strategies / initiatives / capabilities.
• Deep technical expertise and proven technical leadership/technical influence across wide organization
• Team player with good communication skills.

Preferred Qualifications

• Previous experience with Risk, Fraud Detection
• Experiences with Applied Machine Learning
• Experience to interact with cross-functional teams from multiple geo-locations

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