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Roles and Responsibilities : - Analyze complex data sets to identify trends, patterns, and anomalies related to fraudulent activities. - Develop and maintain databases, reports, and dashboards using SAS and SQL to track key performance indicators (KPIs) for fraud prevention. - Collaborate with cross-functional teams to design and implement effective fraud detection strategies based on analysis findings. - Provide insights and recommendations to stakeholders on how to improve fraud risk management processes. Job Requirements : - 5-10 years of experience in data analysis or a related field with expertise in fraud analytics. - Solid proficiency in SAS programming language for data manipulation, analysis, and visualization. - Experience working with large datasets using SQL queries for querying, joining, and aggregating data. .