Driver Fraud Operations, Data Analytics - Ops , Shopeefood
Job Description
Job Description:
- 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
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