Description

You analyze large datasets to identify suspicious patterns, anomalies, and trends related to device fraud.

Responsibilities

• Analyze large datasets using SQL and visualization tools to identify fraud patterns and anomalies.
• Develop, implement, and refine fraud prevention rules and algorithms based on data analysis.
• Monitor fraud prevention rules and assess their effectiveness to drive improvements.
• Develop and maintain reports tracking key fraud metrics for stakeholder communication.
• Investigate suspected device fraud cases, gathering evidence and documenting findings.

Required Skills

• Proficiency in SQL for data querying and manipulation.
• Strong analytical and problem-solving skills to uncover fraud patterns.
• Experience with Data Analysis principles.
• Familiarity with data visualization tools like Tableau or Power BI.
• Knowledge of fraud detection techniques and methodologies.
• Experience in Cybersecurity.
• Ability to work independently and collaboratively in a team setting.

Key Skills

Education

Any Gradute