Description

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

This role is on-site.

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.
• Investigate suspected device fraud cases, gathering evidence and documenting findings.
• Develop and maintain reports tracking key fraud metrics for stakeholder communication.

Required Skills

• 5+ years of experience in data analysis or cybersecurity.
• Proficiency in SQL for data querying and manipulation.
• Experience with data visualization tools like Tableau or Power BI.
• Strong analytical and problem-solving skills to uncover fraud patterns.
• Knowledge of fraud detection techniques and methodologies.
• Proficiency in Excel for data handling.
• Ability to work independently and collaboratively in a team setting.

Preferred Skills

• Experience in Cybersecurity.

Key Skills

Education

Any Gradute