Global Fraud & Payments Risk Analyst

Razer Inc.

Shah Alam

On-site

MYR 78,000 - 112,000

Full time

5 days ago
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Job summary

Razer Inc. is seeking a Fraud and Transaction Monitoring Specialist in Malaysia to monitor transactions, investigate fraud alerts, and analyse data to identify patterns that could affect financial exposure.

The role collaborates with cross-functional teams including Compliance, Operations, Technology, and external partners to enhance detection capabilities. The ideal candidate has a bachelor’s degree and at least 2 years of experience in fraud, risk, or payments, with strong Excel and analytical

Qualifications

  • Bachelor’s degree in finance, accounting, banking, IT, computer science, business administration, data analytics, or related field.

Responsibilities

  • Monitor transactions and merchant activity to identify fraud and suspicious patterns.
  • Review and investigate fraud alerts, suspicious transactions, merchant escalations, and notices.
  • Analyse data (transaction, IP, device, card, merchant, behavioural) to identify fraud patterns.
  • Support EDD, merchant investigations, and account restrictions.
  • Assist in fraud rule development, tuning, testing, and optimisation.
  • Investigate and respond to fraud cases from Visa, Mastercard and other partners.
  • Prepare fraud and monitoring reports with metrics and trends.
  • Maintain investigation records for audits and regulatory requirements.
  • Collaborate with Fraud Management, Compliance, Merchant Management, Ops, Tech, and partners.

Skills

Fraud monitoring
Data analysis
Excel
Investigation
Communication
Teamwork
Attention to detail
Adaptability

Education

Bachelor’s degree in Finance / IT / Accounting / Data Analytics

Tools

Microsoft Excel
Data analysis tools

Job description

Razer Inc. is seeking a Fraud and Transaction Monitoring Specialist in Malaysia to monitor transactions, investigate fraud alerts, and analyse data to identify patterns that could affect financial exposure.

The role collaborates with cross-functional teams including Compliance, Operations, Technology, and external partners to enhance detection capabilities. The ideal candidate has a bachelor’s degree and at least 2 years of experience in fraud, risk, or payments, with strong Excel and analytical

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