Fraud Data Analyst

📋 Description

• Monitor transactions and customer accounts to identify suspicious or fraudulent activity.
• Use fraud detection tools and techniques to identify trends and patterns.
• Conduct in-depth investigations into suspected fraud, gathering evidence and documenting findings.
• Analyze large datasets with SQL to identify anomalies and insights.
• Develop and implement fraud prevention rules, strategies, and controls.
• Stay current with best practices and emerging fraud threats.

🎯 Requirements

• Bachelor's degree in a relevant field (Economics, CS, Analytics, etc.).
• Minimum two years in fraud detection, prevention, or investigation.
• Minimum two years of SQL and Python experience.
• Strong analytical and problem-solving skills with attention to detail.
• Understanding of common fraud typologies (account takeover, identity theft, etc.).
• Excellent written and verbal communication skills.

🎁 Benefits

• Collaborative, diverse culture with purpose-driven teammates.
• Focus on real impact over traditional perks.
• Remote-friendly environment with flexible options.
• Growth opportunities and career advancement.
• Support for learning and work-life balance.