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Location
In office (Manila)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 24, 2026. Shopee scores A on the Alion truth index.

Overview
Company
Impact
Profile match
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.
  • Investigate fraudulent activity, dig through data to identify behavioral patterns, calculate losses, and propose solutions to mitigate and prevent them.
  • Develop automated monitoring reports, detection and notification tools for suspicious transactions occurring across Shopee’s different businesses.
  • Test new fraud tools and technologies and uncover new modus operandi of cybercrimes.
  • Propose new features on Shopee that can deter or prevent further fraud, and conduct necessary research and data simulations.
  • Work with the Legal and Data Privacy teams to address criminal activities and provide evidence for potential litigation, or reporting for Anti Money Laundering.
  • Assess potential risks and process vulnerability of campaigns, promos, and new businesses.
  • Experience a unique opportunity to work in a multi-industry role that encompasses e-commerce, Fintech, and Consumer Credit.
  • Experience in SQL is crucial, or exposure to other data-mining tools.
  • Bachelor’s Degree in Statistics, Mathematics, Industrial Engineering, Management Engineering, Physics, Economics, or equivalent data-savvy fields are prioritized.
  • High level of data literacy and strong analytical and investigative skills and critical thinking are required for this position.
  • Ability to work with different types of people.
  • Strong English communication skills, both written and spoken, and the ability to communicate insights from data to business units.
  • Some experience in Analytics for Fraud or Risk Management in e-Commerce, Banking, Fintech, Credit, Remittance, or other relevant fields is highly preferred.
  • An in-depth understanding of Shopee, Shopeepay, and SPayLater as a user is an advantage.
  • A deep love for improving processes and crafting innovative solutions.
  • A strong sense of integrity with handling of sensitive personal information, and a passion to serve victims of fraud.
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