Fraud Analytics

Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, first party and third party fraud). Investigate suspicious activities and transactions, determine root causes, and develop strategies and statistical models to prevent future occurrences. Develop Fraud rules on workflow systems and generate reports for ongoing monitoring of fraud events. Collaborate with cross-functional teams to enhance fraud prevention measures and present fraud risks, incidents, and mitigation strategies for management review. Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Requirements: - Bachelor's degree in engineering, technology, computer science, or related field. - 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field. - Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. - Excellent communication and presentation skills for conveying complex information clearly. - Detail-oriented with a proactive mindset towards problem-solving and risk mitigation. - Ability to work collaboratively in a cross-functional team environment.,