Fraud Strategy Analyst

You will be responsible for utilizing data analytics tools and methodologies to conduct detailed assessments and generate Fraud rules and reports on fraud trends, including Merchant Fraud, first-party and third-party fraud. Your tasks will involve investigating suspicious activities and transactions, identifying root causes, and devising strategies and statistical models to prevent future occurrences. Additionally, you will be required to develop Fraud rules on workflow systems, create fraud reports for ongoing monitoring, and prepare reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review. Collaboration with cross-functional teams, such as risk management, operations, and compliance, to enhance fraud prevention measures will also be part of your role. Monitoring industry trends, regulatory changes, and best practices to continually improve fraud prevention strategies is another key aspect of this position. To excel in this role, you should hold a Bachelor's degree in engineering, technology, computer science, or a related field, along with at least 5 years of proven data analytics experience in fraud prevention, risk management, or a related field. The ideal candidate will have expertise in Fraud Mitigation, first-party fraud, Transactional Fraud, merchant fraud, and digital fraud detection. Proficiency in Python and SQL is essential, as well as familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. Strong communication and presentation skills are crucial for conveying complex information clearly and concisely. Being detail-oriented with a proactive approach to problem-solving and risk mitigation, and the ability to work effectively in a cross-functional team environment are also required for this role.,