Associate Fraud Manager

Bangsar South, Malaysia

Razer

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Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

The Associate Fraud Manager for Razer Gold is a fundamental operational role responsible for supporting and enhancing Razer Gold’s fraud prevention. The core job for the role is to identify, investigate, and address potential fraud activity to protect the organization.

The role will be reporting to the Head of FCC, you will have innate and intuitive knowledge of Razer’s goals and culture.

Responsibilities:

  • Monitor real-time alerts for suspicious transactions and implement procedures to address identified risks
  • Investigate potential fraud cases by reviewing reports, transactions and other data
  • Identify fraud patterns, trends, and root causes to improve fraud detection strategies
  • Collaborate with cross-functional teams to strengthen fraud prevention measures.
  • Ensure that all fraud cases are documented according to company policies and relevant regulatory requirement.
  • Develop and deliver training programs on fraud awareness for employees.
  • Stay updated on industry trends, emerging threats, and best practices in fraud management.

    Pre-Requisites :

    Preferred Skills and Qualifications:

    • Bachelor’s degree in Finance, Business, Economics, Computer Science, or a related field.
    • Advanced degrees or certifications (e.g., Certified Fraud Examiner - CFE, Certified Anti-Money Laundering Specialist - CAMS) are preferred.
    • 3-5 years of experience in fraud management, risk management, or a related field
    • Prior experience in a managerial or supervisory role
    • Strong ability to analyse data and detect patterns or anomalies that could indicate fraudulent activity.
    • Proficiency in using analytical tools and software (e.g., SQL, Excel, Python, SAS) are preferred
    • Expertise in identifying, assessing, and mitigating risks related to fraud.
    • Awareness of emerging fraud trends and techniques
    • Strong verbal and written communication skills to convey complex information clearly to stakeholders.
    • Familiarity with fraud detection software and systems (e.g., fraud management platforms, machine learning models)..
    • Collaborate with Compliance Governance to understand and execute regulatory obligations concerning money laundering and fraud.
    • Experience in compliance and ensuring adherence to legal and regulatory standards.

    Are you game?

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    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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    Category: Leadership Jobs

    Tags: Computer Science Economics Excel Finance Machine Learning ML models Python SAS SQL

    Perks/benefits: Career development

    Region: Asia/Pacific
    Country: Malaysia

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