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 Fraud Management Manager is responsible for overseeing and mitigating fraud risks, ensuring the organization's protection against financial losses and operational disruptions. This role involves ensuring compliance with fraud prevention laws and regulations, maintaining good standing with regulators, and providing leadership to the fraud prevention team. The manager also drives strategic initiatives to stay ahead of emerging fraud trends, safeguarding the organization from sophisticated fraud schemes.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 fieldPrior experience in a managerial or supervisory roleStrong 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 preferredExpertise in identifying, assessing, and mitigating risks related to fraud.Awareness of emerging fraud trends and techniquesStrong 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?