Fraud Detection & Prevention Architect (Systems)

TASQ Staffing Solutions; Pasay; On-site; PHP 1,000,000 - 1,600,000; Full time

Job summary

TASQ Staffing Solutions is seeking an Expert in Fraud Detection and Prevention (Systems) to join our team in Pasay. The role focuses on developing, implementing, and managing strategies to minimize fraud and bonus abuse, protecting the gaming environment and reducing financial losses.

The ideal candidate will leverage data analytics, machine learning, and risk-control practices to detect and mitigate threats while collaborating with cross-functional teams to integrate fraud systems into existing

Qualifications

• Minimum of 5 years of experience in fraud detection, risk management, or bonus abuse prevention.
• Proven experience in developing and managing risk control strategies for fraud and bonus abuse.
• Strong knowledge of fraud detection tools, methodologies, and bonus abuse prevention techniques.
• Experience with rule-based fraud detection systems and knowledge of digital fingerprinting, behavioral analytics, and graph-based analysis.

Responsibilities

• Analyze large datasets to identify fraud patterns, trends, and bonus-abuse indicators.
• Develop and implement risk-control strategies to monitor and mitigate fraud across the platform.
• Apply machine learning and analytics to detect fraudulent behavior in real time.
• Design strategies to prevent and detect bonus abuse in promotions and loyalty programs.
• Collaborate with data scientists, software engineers, and IT teams to integrate fraud detection into platforms and workflows.
• Refine fraud detection algorithms to adapt to evolving fraud tactics.

Skills

Fraud detection

Risk management

Bonus abuse prevention

Data analytics

Machine learning

Communication

Tools

Fraud detection tools

Job description

TASQ Staffing Solutions is seeking an Expert in Fraud Detection and Prevention (Systems) to join our team in Pasay. The role focuses on developing, implementing, and managing strategies to minimize fraud and bonus abuse, protecting the gaming environment and reducing financial losses.

The ideal candidate will leverage data analytics, machine learning, and risk-control practices to detect and mitigate threats while collaborating with cross-functional teams to integrate fraud systems into existing