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Product Lead, Payment Fraud

Singapore; Hong Kong; Australia; China, Singapore · Job Posted February 21, 2026
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Job Description

This role will be part of Airwallex’s Risk Platform team, building out our Anti-Fraud capabilities to protect our customers from Payment fraud. You will be responsible for developing and implementing strategies to prevent, detect, and mitigate fraud within our products and services at global scale, as well as leading Fraud-related product initiatives from ideation to launch. You will bring a fraud product to market, and productise a fraud product add on service for Airwallex to better serve our customers.

Job Responsibility

  • Lead the strategy for our Payment fraud products and prioritise the roadmap for key features and capabilities
  • Work with commercial strategy teams to develop and enrich our customer facing fraud management offerings
  • Oversee the product lifecycle of our fraud prevention capabilities and tools for our risk analytics and operation teams and customers
  • Work with the risk analytics team to develop and implement fraud detection and prevention solutions, and monitor their effectiveness
  • Lead cross-functional teams, including engineering, data science, legal and compliance teams to develop market leading products that align with business objectives and regulatory requirements
  • Manage Airwallex’s team of Fraud Analysts and ensure proactive monitoring of fraud metrics, identification of patterns and trends, and gathering of insights to improve fraud prevention strategies and tooling

Requirements

  • 7 to 15 years of overall professional experience
  • 5+ Years of experience in Payments Fraud or Payments Risk Management
  • Experience in product management, go-to-market propositions, product design, product planning and development
  • Excellent analytical, problem-solving, and communication skills
  • Demonstrated high academic achievements across your Bachelor’s or higher degree in a STEM field
  • Experience in Fintech or other domains with high conceptual complexity

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