Key Responsibilities:

• Conduct analysis of data using SAS software to identify fraudulent activity and patterns.
• Investigate and report on potential fraud cases, including reviewing transactions, customer behavior, and other relevant data sources.
• Collaborate with cross-functional teams to develop and implement fraud prevention strategies.
• Monitor fraud-related KPIs and provide regular reporting on trends and patterns to key stakeholders.
• Identify new and emerging fraud risks and recommend proactive measures to mitigate these risks.
• Conduct ad-hoc analyses and data mining exercises to support fraud investigations and other business needs.
• Stay up to date on industry best practices and emerging trends related to fraud detection and prevention.

Requirements:

• Bachelor’s degree in a related field, such as Statistics, Mathematics, Computer Science, or a related discipline.
• Minimum of 3 years of experience in SAS Fraud Analytics.
• Strong analytical skills and the ability to identify patterns and trends in complex data sets.
• Knowledge of fraud prevention tools and techniques.
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and present findings to key stakeholders.
• Strong attention to detail and the ability to prioritize and manage multiple projects simultaneously.
• Experience with SQL and other programming languages is a plus.