Driver Fraud Operations, Data Analytics - Ops , Shopeefood

Responsibilities

• 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
• Native Thai and fluent in English