Manager, Fraud & Payment

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 :

• Develop and implement fraud detection and prevention strategies.
• Lead and manage investigations into suspected fraudulent activities.
• Analyse fraud trends and data to identify vulnerabilities and risks.
• Collaborate with cross-functional teams to strengthen fraud prevention measures.
• Ensure compliance with relevant laws, regulations, and industry standards.
• Manage and mentor a team of fraud analysts and investigators.
• Design and maintain systems and tools for effective fraud detection and reporting.
• Report findings to senior management and recommend corrective actions.
• 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.
• Minimum 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?