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.
📌 Fraud Data Analyst (Delhi)
🏢 EY
📍 Delhi
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