Associate Decision Scientist Ii

About the Team

The Uber's Risk Ops team works towards building a world-class risk management program at Uber. We are the first line of defense for risk related issues and we work on identifying fraudulent behaviour that can lead to losses to Uber across all products. We build and help improve precision of the rules and machine learning models. Our objective is to minimize fraud leakage for Uber and false positive impact to our customers by enabling tech capabilities to detect and catch fraud before or when it happens. Our success is built on solid data and decisioning platforms, with many innovative products to catch and prevent risk at Uber, while ensuring minimum friction to good users.

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 weekly, and in some cases, daily basis. As we grow and rapidly expand our transaction base across emerging products, we face new and interesting 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 successfully analyze trends, and deploy recommendations and algorithms which requires strong communication across product, engineering, data science, finance, and operations stakeholders 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 stakeholders
- This hands-on analytics role will be responsible for monitoring 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 develop a strong understanding of key Uber systems and tools to effectively review and analyze emerging trends and provide recommendations for mitigating emerging fraud vectors.
- Communicate effectively with cross-functional teams across disciplines such as product, engineering, data science with a focus on the Risk/Fraud mitigation.

Basic Qualifications

Experience with data analytics/data science
- 3+ Years experience in a data-driven environment (prior roles in data science, analytics, and/or engineering)
- Technical competencies required coding (preference for SQL, R, and/or Python)
- Experience in SQL and query optimization techniques and programming using R, and/or Python

Possess a strong analytical and business acumen to incorporate concepts like profit, loss, costs, and lifetime value of a customer and be able to effectively consider these factors when providing recommendations or solutions
- Experience demonstrating that their roles lead to business decisions and changes
- Prior experience on data-driven teams where P&L was considered

Preferred Qualifications
- Experience in a Risk and Fraud set is preferred
- Relevant BS in quantitative fields like Statistics, Operations Research, Computer Science, Mathematics, and/or Economics. MS +2Yrs experience preferred.

At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We’ve grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned