**About the Role
*Were looking for a Risk Strategy Analyst 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, youll be part of and work closely with a cross-functional team consisting of engineers, product managers, operations, data scientists, and other analysts. You will require a mix of business and technical acumen, along with cross-functional skills to connect with various internal and external partners.
*What the Candidate Will Need / Bonus Points*
3 years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science Risk/Fraud/Payments experience 3 years of SQL experience
Prior work with Hive, Spark, and other big data tools Experience in experimentation, A/B testing, and statistical modeling a plus Proficient at defining, utilizing and communicating performance metrics Proven track record of applying analytical/statistical methods to tackle real-world problems using big data Creative problem solving, strong critical thinking, and a get things done mentality Hands-on and attentive to detail Comfort with ambiguity and the ability to work in a self-guided manner
Passion for Uber!**What the Candidate Will 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 s, functional business review meetings, and all-hands Stay highly engaged and always hustle as Uber Risk is a very fast-paced environment
Keyskills: Statistical modeling data science Idea generation data reporting Business analytics Analytical Fraud detection strategy analyst SQL Business operations
Ubertal was created in 2011 in Silicon Valley with the initial objective of helping high growth software companies solve their toughest business challenges. Through this process weve identified common challenges faced by companies and have developed our own software solutions (IP) and co- created s...