We are supporting our client in hiring an experienced Fraud Officer to strengthen their fraud prevention capabilities and safeguard their digital goods platform. This is a fully remote position, however, the selected candidate will be required to work in Hong Kong working hours (8:30am–5:30pm HKT) and remain flexible throughout the day based on operational needs.

Role Overview
Our client is seeking a highly skilled professional with strong expertise in fraud detection, investigation, and prevention. The ideal candidate will have hands-on experience with AI-driven fraud tools, machine learning–powered solutions, and modern fraud management systems, particularly within digital goods, e-commerce, fintech, or iGaming environments.

Key Responsibilities

• Monitor and analyze digital goods transactions to detect suspicious patterns and potential fraud.
• Conduct thorough investigations into fraud cases, identifying trends, methodologies, and root causes.
• Develop, refine, and implement both automated and manual fraud prevention strategies to improve accuracy and reduce false positives.
• Collaborate closely with internal teams, including Development, Compliance, and Chargebacks, to optimize detection workflows.
• Stay current with evolving fraud tactics, industry trends, and emerging technologies relevant to digital fraud.
• Leverage AI and machine learning insights to proactively prevent future fraud attempts.
• Prepare detailed reports for management, highlighting trends, vulnerabilities, and recommended mitigation measures.

Qualifications

• Proven experience in fraud prevention, detection, or investigation within digital goods, e-commerce, iGaming, or related online sectors.
• Hands-on experience with tools such as SEON, Ravelin, Kount, or similar AI-driven fraud platforms.
• Strong understanding of machine learning, AI applications, and data analytics used in fraud detection.
• Excellent analytical, investigative, and problem-solving skills.
• Ability to operate independently in a fast-paced, remote environment while collaborating effectively with distributed teams.
• Strong communication skills for reporting and cross-team coordination.
• Experience working with payment processors, marketplaces, or e-commerce systems is an advantage.

Preferred Skills

• Familiarity with technical integrations, APIs, or scripting/programming languages such as Python or SQL.
• Knowledge of digital fraud methodologies and cybersecurity practices.
• Relevant certifications in fraud management, cybersecurity, or data analytics are considered a plus.