Uber Risk & Operations Manager 

United States, West Virginia 

501926855

About the Role

Uber is looking for a Risk & Operations Manager to join the team to apply a data-driven approach to identify, understand, and scope emerging fraud trends (including payment fraud and marketplace risk) on the Uber platform. In this role, you'll be part of and work closely with a cross-functional team and responsible for key performance metrics such as fraud losses, false positives, and operational efficiency. You will require a mix of business and technical acumen and also cross-functional skills to communicate with various internal and external partners.

What You'll Do

• Perform analysis to understand Risk / Fraud behaviors, contribute to fraud detection features and models
• Build and maintain fraud rules in response to evolving fraud behaviors
• Extract insights from the large volumes of data and come up with new strategies to mitigate/stop fraudulent activities
• Build a deep understanding of the Risk data, reporting, and key metrics
• Participate in project definition and idea generation, work on collaborative projects with partners across the globe with a focus on the Risk/Fraud mitigation
• Effectively communicate and present findings to the management team to strengthen business decisions
• With guidance from manager, define and develop area of expertise
• Attend regular training courses, functional business review meetings, and all-hands
• Stay highly engaged and always hustle as Uber Risk is a very fast-paced environment
• Perform risk assessments to proactively identify external and internal risks that can have a significant impact on the business and propose solutions

What You'll Need

• 3+ years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science
• Degree in Engineering, Mathematics, Statistics, Computer Science, Economics or other quantitative field
• Translate ambiguous questions, generate and investigate hypothesis through a deep understanding of the data and synthesize findings into clear recommendations to leadership and regional teams.
• Experience with data analysis and visualization tools, such as Python, R, Tableau and SQL proficiency
• Proficient at defining, utilizing, and communicating performance metrics
• Proven track record of applying analytical/statistical methods to tackle real-world problems using big data
• Ability to work in a self-guided manner
• English and Portuguese proficiency
• Experience in experimentation, A/B testing and statistical modeling

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .