• Design and execute strategies to prevent fraud by leveraging data analysis, industry knowledge, and technological tools. • Analyze patterns and trends related to fraud in the credit card portfolio to identify potential fraudulent activities. • Develop mathematical and statistical models to analyze data, interpret results, and effectively communicate findings. • Utilize data analytics tools to monitor and detect suspicious behavior. • Conduct A/B testing to evaluate the effectiveness of fraud prevention strategies and optimize decision-making. • Collaborate with risk management, technology, and other cross-functional teams. • Perform in-depth investigations into suspicious activities. • Analyze complex datasets to assess the overall performance of fraud decisioning systems. • Create and maintain reports on fraud trends, incidents, and mitigation strategies.