Fraud Analyst, ShopeeFood

Shopee • Commerce • Bachelor's Degree • 18 days ago
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Salary
≈ $8k – $18k per year (Estimated)
Location
In office (Manila)

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 2, 2026. Shopee scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
shopee.com • HQ: Singapore • Marketplaces • 1001-5000 employees • Est. 2015
Tech stack of Shopee

Quality Management System (QMS)

  • Maintain and continuously improve the QMS framework.
  • Run regular calibration sessions to keep scoring consistent and fair.
  • Monitor and analyze quality performance across service providers and report on trends, root causes, and corrective actions.
  • Maintain SOPs and control documentation.

Fraud Analysis and Controls

  • Analyze order, payment, voucher, and delivery data to identify fraud patterns.
  • Build and maintain dashboards and monitoring reports for fraud KPIs, leakage, and control effectiveness.
  • Investigate suspicious cases, quantify the impact, and recommend actions (account sanctions, rule changes, process fixes).
  • Bachelor's degree in Business, Industrial Engineering, Statistics, IT, or a related field.
  • 0-2 years of experience in fraud analysis, risk, quality assurance, operations analytics, or process excellence (e-commerce, delivery, logistics, fintech, or BPO preferred).
  • Proficiency in Excel/Google Sheets
  • Strong analytical and problem-solving skills, with the ability to turn data into clear recommendations.
  • Good communication skills, written and verbal, for both technical and non-technical audiences.
  • Detail-oriented, with sound judgment and high integrity when handling sensitive data.
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