Job Description: 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 analysis 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.