Associate Fraud Manager

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 Assistant Manager – Fraud Management 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 addressing potential fraud activity to protect the organization.
The role will be reporting to the Manager, Fraud Management, you will have innate and intuitive knowledge of Razer’s goals and culture, as well as of the local operating environment in Malaysia.

 

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 :

• 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).. 

• Understanding of relevant laws and regulations concerning fraud (e.g., AML, KYC, GDPR). 

• Experience in compliance and ensuring adherence to legal and regulatory standards. 

Are you game?