Quality Assurance jobs in Malaysia

We are representing a dynamic and rapidly expanding MarTech firm that provides next‑generation services, helping companies globally unlock new revenue and achieve massive scale. The firm is accelerating its Fraud & Risk operations to strengthen member trust, prevent abuse, and protect platform integrity.

We are seeking a sharp Fraud Analyst to work directly with the management team. You will be part of the first line of defense, investigating member activities, identifying suspicious patterns, and recommending countermeasures to ensure fair play and safety across the ecosystem.

If you are a curious, detail‑oriented individual eager to turn data into actionable fraud insights and stay one step ahead of bad actors, this challenging role is for you.

• Data Analysis & Detection: Analyze large data sets to detect suspicious or abnormal behavioral and transactional patterns.
• Case Investigation: Thoroughly investigate potential fraud cases (e.g., promotion abuse, multi‑accounting, payment exploits) and provide clear, data‑backed summaries of findings.
• Tracking & Reporting: Use data tools (Google Sheets, dashboards, charts) to track fraud trends, document findings, and maintain clear records of all investigations, actions, and outcomes.
• Escalation & Recommendation: Escalate confirmed or high‑risk cases to relevant teams with clear, data‑backed reasoning.
• Countermeasure Strategy: Recommend new detection rules, limits, or monitoring logic to reduce false negatives and proactively prevent recurring abuse.
• Continuous Improvement: Collaborate with the tech team to improve fraud detection workflows and automation, and continuously study evolving fraud trends.

• Strong analytical skills with the ability to spot non‑obvious patterns in complex data.
• Proficient with Google Sheets/Excel, basic data visualization tools (charts, dashboards, pivot tables), and comfortable tracking data trends.
• Logical thinking — able to form and rigorously test hypotheses based on limited or incomplete data.
• Excellent communication skills — able to explain complex technical findings clearly to both technical and non‑technical audiences.
• Personal Traits — Curious, detail‑oriented, self‑motivated, and comfortable investigating complex cases independently.
• Ethics & Trust — Highly responsible, dependable, and capable of handling sensitive data with the utmost discretion.

• Platform Exposure: Familiarity with dedicated fraud detection or risk platforms (e.g., SEON, Shield, Sift).
• Industry Experience: Prior exposure to high‑volume e‑commerce or fintech transactional data.

If you are a talented analyst ready to step into the first line of defense and help shape a secure and trustworthy platform, apply today and help us fight fraud!