Job Description

• Monitor credit-card transactions via advanced fraud-detection tools and rule engines.
• Identify suspicious patterns, initiate case investigations, and prevent loss in real time.
• Build and fine-tune risk rules, machine-learning models, and KPIs that balance fraud loss, false positives, and customer experience.
• Run A/B tests and post-incident reviews to drive continuous improvement.
• Collaborate with Product, Engineering, and Compliance teams to embed “fraud-first” thinking into new features.

What we are looking for

• Bachelor’s degree in Business, Financial Services, or a related field. Professional certifications (CFE, CFCI, FRM) are a strong plus.
• 5–8 years of hands-on experience in credit card fraud prevention within fintech, payments, e-commerce, or banking sectors.
• Expertise with common fraud platforms (e.g., Actimize, SAS, Feedzai, Cybersource, or similar) and SQL-based data analysis.
• Strong understanding of chargeback lifecycles, card-network regulations, 3-D Secure, and regional compliance (MAS, PCI-DSS).
• Proficiency in Mandarin and English is essential to manage mandarin speaking stakeholders.