Proactively identify fraud trends across Driver, Merchant, and Buyer segments by performing data analysis to uncover and understand fraudulent behavior patterns
Investigate flagged accounts and transactions to determine legitimacy and root cause of fraudulent activity
Research internal data to identify risky behaviors and support the development of new fraud detection patterns and rules
Collaborate with cross-functional teams to build, maintain, and refine fraud detection logic in response to evolving fraud tactics
Track and report key fraud metrics, including fraud rate (%) and fraud loss amount, and monitor trends across time periods to flag emerging risks
Communicate investigation findings and recommendations clearly to internal stakeholders, given the platform-wide impact of fraud-related decisions.
Requirements
Bachelor's degree or higher in a logic-based field (e.g., Mathematics, Statistics, Computer Science, Engineering, Economics, or related discipline)
0–3 years of experience in a data-focused or analytical role;
Working knowledge of SQL, with the ability to independently write and complete ad hoc queries preferred
Comfortable working with Google Sheets for data manipulation and reporting
Strong communication skills; able to convey findings clearly to both technical and non-technical teams
Strong analytical and critical thinking skills, with a get-things-done mentality
Hands-on and attentive to detail
Comfortable with ambiguity and ability to work in a self-guided manner
