Come and join the team if you are passionate to help ensure that customers may make great purchase decisions and that brand owners and sellers using Shopee are successful listing and selling their products.

Job Description:

  • Lead a team of Fraud product management to develop products at a regional scale that identify anomalies and provide continuous monitoring solutions for effective fraud risk management
  • Develop product road map aligning the vision with senior leadership and key business and engineering stakeholders to set strategy and define the product
  • Identify and analyze feature requests to determine business value and priority, develop business cases, test/implement solutions
  • Recognize and adopt best practices for building a scalable fraud intelligence platform
  • Analyze data to identify fraud trends and proactively take action to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures
  • Continually improve recurring reporting and analysis processes via re-architecture or automated solutions
  • Institute mechanisms to perform ad hoc fraud investigations related projects/assignments as necessary
  • Interact with key stakeholders to define the metrics, measurements and tools to quantify business goals
  • Build mechanisms for effective tracking, reporting, and feedback on Fraud Roadmap with leadership and stakeholders


  • Bachelor’s degree in a technical field
  • 7+ years of experience in e-commerce, technology or digital sector including 5+ years of product management experience
  • Good knowledge of fraud intelligence solutions, and the ability to work with technology, product development, finance, and business teams
  • Experience working through ambiguity, demonstrating good judgment under pressure and the ability to thrive in a fast-paced, dynamic environment
  • Experience leading cross-functional teams to deliver large products and projects on tight deadlines
  • Experience conceptualizing, developing and launching systems and tools that directly impact customer experience
  • Familiarity working in a big-data environment interacting directly with data science and/or engineers responsible for modelling or machine learning
  • Strong analytical experience including proficiency in SQL

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