Fraud Officer – Remote (Hong Kong Hours) at Recruiter4you

Limassol, Cyprus, Cyprus -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud Detection, Investigation, Fraud Prevention, AI-Driven Tools, Machine Learning, Data Analytics, Analytical Skills, Problem-Solving, Communication Skills, Payment Processors, E-Commerce, Digital Goods, iGaming, Cybersecurity, Technical Integrations, APIs

Industry

Staffing and Recruiting

Description

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.

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.