Fraud Data Analyst

📋 Description

• Monitor transactions and customer accounts for suspicious activity.
• Use fraud detection tools and SQL-based analysis to spot trends.
• Investigate suspected fraud and document findings.
• Analyze large datasets with SQL to identify anomalies.
• Develop and implement fraud prevention rules and controls.
• Stay current with industry fraud threats and detection tech.

🎯 Requirements

• Bachelor's degree in Economics, CS, Analytics, or related field.
• Minimum of two years in fraud detection, prevention, or investigations.
• Minimum of two years experience with SQL and Python.
• Strong analytical and problem-solving skills with attention to detail.
• Understanding of common fraud typologies.
• Excellent written and verbal communication skills.

🎁 Benefits

• Remote-friendly culture and collaboration.
• Diverse, purpose-driven team environment.
• Growth opportunities and career advancement.
• Flexible, fast-paced, supportive work environment.