Uber - Associate Risk Analyst

Associate Risk Analyst

About the Role :

Uber's Risk Team is at the forefront of one of the world's biggest challenges. Every day we process millions of mobile transactions in over 75 different countries, while also issuing driver-partner payouts on a weekly, and in some cases, daily basis. As we grow and rapidly expand our transaction base across emerging products, we face new and exciting situations that many companies have never encountered. Our goal is to deliver innovative risk management in the two-sided marketplace to maximize legitimate revenue and sustainable growth.

- We are seeking an experienced risk or fraud analyst to join our Risk Operations Team. The analyst will be responsible for monitoring fraud trends around the world. This analyst will optimally analyze trends, and deploy recommendations and algorithms which require strong communication across product, engineering, data science, finance, and operations partners in a complex environment.

- As an owner of key fraud metrics, you should have the analytics experience, intellectual curiosity, and resourcefulness to identify, measure, and mitigate new and emerging loss vectors. In this role, you will require a mix of business and technical acumen and also strong cross-functional skills to communicate with various internal and external partners.

What You Will Do :

- This hands-on analytics role will be responsible for supervising Uber's Risk platform capabilities and developing new strategies to keep the fraudsters off Uber by identifying patterns using data analysis and visualization

- You will serve as the subject matter authority on analytics/data-driven solutions that mitigate the risk of financial losses while also maintaining a positive user experience and enabling Uber to continue making big bold bets.

- You will develop a solid understanding of key Uber systems and tools to optimally review and analyze emerging trends and provide recommendations for mitigating emerging fraud vectors.

- Communicate optimally with cross-functional teams across subject areas such as product, engineering, data science with a focus on Risk/Fraud mitigation.

What You Will Need :

- Experience with data analytics/data science 0-3 Years experience Coursework or projects in data science and analytics BS or degree in other quantitative fields

- Relevant BS in quantitative fields like Statistics, Operations Research, Computer Science, Mathematics, and/or Economics