Fraud Analyst

OrgScale Recruitment Sdn Bhd; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading MarTech firm in Kuala Lumpur is seeking a Fraud Analyst for its Fraud & Risk operations. In this role, you will analyze large datasets to detect fraudulent patterns and investigate suspicious activities to ensure platform integrity. The ideal candidate will possess strong analytical skills, proficiency in Google Sheets/Excel, and excellent communication abilities. This position involves collaborating with both technical teams and management, making it critical for maintaining a secure environment. Apply now to contribute significantly to preventing fraud!

Qualifications

• Strong analytical skills to identify patterns in complex data.
• Proficiency with Google Sheets/Excel and basic data visualization tools.
• Ability to logically think and test hypotheses based on incomplete data.
• Excellent communication to explain technical findings clearly.

Responsibilities

• Analyze large data sets for suspicious patterns.
• Investigate potential fraud cases and summarize findings.
• Track fraud trends and document investigations.
• Escalate high-risk cases with data-backed reasons.
• Recommend new detection rules and strategies for improvement.

Skills

Analytical skills

Proficient with Google Sheets/Excel

Logical thinking

Excellent communication skills

Curiosity

Dependability

Tools

Google Sheets

Excel

Job description

💼 About the Opportunity: Your Role as the First Line of Defense

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.

🔥 Key Responsibilities: Your Core Mission

• 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.

✅ Essential Requirements: Do You Have the Investigative Mindset?

• 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.

📈 Valuable Bonuses

• 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!