Fraud Data Analyst

📋 Description

• Monitor transactions and customer accounts for suspicious fraud activity.
• Use fraud detection tools to identify emerging trends and patterns.
• Investigate suspected fraud, gather evidence, and document findings.
• Analyze large datasets with SQL to identify fraud anomalies.
• Develop and implement fraud prevention rules, strategies, and controls.
• Stay current with fraud best practices and emerging tools.

🎯 Requirements

• Bachelor's degree in Economics, Computer Science, Analytics, or related field.
• 2+ years in fraud detection, prevention, or investigations.
• 2+ years of experience with SQL and Python.
• Strong analytical and problem-solving skills with keen attention to detail.
• Understanding of common fraud typologies (e.g., account takeover).
• Excellent written and verbal communication skills.

🎁 Benefits

• Remote-friendly culture with flexible work setup.
• Focus on impact, growth, and career advancement.
• Diverse teammates with unique passions.
• Collaborative, respectful, and values-driven environment.
• Opportunities to contribute to fintech and retail innovation.
• Inclusive team that values curiosity and initiative.