Fraud Detection and Prevention (Systems) | Pasay

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

Fraud Detection and Prevention (Systems) | Pasay

Job Openings Fraud Detection and Prevention (Systems) | Pasay

About the job Fraud Detection and Prevention (Systems) | Pasay

Job Description:

• We are seeking a highly skilled and experienced Expert in Fraud Detection and Prevention (Systems) to join our team within the online gambling industry. The successful candidate will be responsible for developing, implementing, and managing strategies to minimize risks associated with fraudulent activities and bonus abuse, ensuring the integrity of our gaming environment and protecting the business from financial losses. This role requires a strategic thinker with a strong technical background, excellent problem-solving skills, and the ability to stay ahead of emerging fraud trends.

Key Responsibilities

• Analyze large volumes of data to identify patterns, trends, and emerging threats related to fraud and bonus abuse and conduct comprehensive risk assessments to identify potential fraud vulnerabilities in the organizations processes and systems.
• Develop and implement robust risk control strategies to identify, monitor, and mitigate fraud risks across the platform.
• Use advanced analytics and machine learning techniques to detect fraudulent behavior and anomalies in real-time.
• Design and implement strategies to prevent and detect bonus abuse, including the exploitation of promotions, bonuses, and loyalty programs.
• Collaborate with data scientists, software engineers, and IT teams to integrate fraud detection systems into existing platforms and workflows and develop new tools that improve the detection and prevention of fraud and bonus abuse.
• Continuously refine and enhance fraud detection algorithms to adapt to new fraud patterns and tactics.
• Act as a liaison between the risk control team and senior management, ensuring alignment on risk management objectives.

Experience:

• Minimum of 5 years of experience in fraud detection, risk management, or bonus abuse prevention, preferably within the online gaming, financial services, or e-commerce sectors.
• 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.

Analytical Skills:

• Excellent problem-solving abilities with a strong analytical mindset and the ability to interpret complex data.
• High attention to detail and a proactive approach to identifying and mitigating risks.

Soft Skills:

• Excellent communication and presentation skills, with the ability to explain complex risk concepts to non-technical stakeholders.
• Ability to manage multiple projects and priorities in a fast-paced setting.

Preferred Qualifications:

• Experience in the online gambling or gaming industry.
• Knowledge of the latest trends in fraud detection, bonus abuse prevention, and risk management.
• Experience with machine learning models and their application in fraud detection and risk control.