Qualifications

• Experience in digital fraud, threat hunting, or fraud risk management.
• Hands-on experience with fraud detection systems and risk engines.
• Strong working knowledge of SQL and Python for data analysis and automation.
• Experience working with large-scale datasets and translating analysis into actionable insights.
• Experience developing detection logic or model-driven rules.
• Solid understanding of common fraud and abuse patterns.
• Strong problem-solving and analytical skills with attention to detail.
• Ability to explain complex findings to diverse audiences.

Responsibilities

• Explore and interpret transactional and behavioral data to identify fraud patterns and risks.
• Build and maintain dashboards and reports using tools like Splunk and Azure Data Explorer.
• Investigate and respond to digital fraud threats, including account takeover and marketplace abuse.
• Design and deploy detection rules and alerts within fraud monitoring platforms.
• Partner with Data and Engineering teams to enhance fraud detection systems.
• Perform root cause analysis on fraud incidents for long-term prevention strategies.
• Identify gaps in detection capabilities and aid in improving fraud prevention frameworks.
• Support fraud-related incident response and post-incident reviews.

Benefits

• Collaborative work environment with cross-functional teams.
• Opportunity to work with cutting-edge fraud detection tools.
• Contribution to a secure and trusted player experience.
• Possibility for career growth within a leading game development company.