Fraud Data Analyst

📋 Description

• Monitor transactions and customer accounts to identify suspicious activity.
• Use fraud detection tools to identify emerging fraud trends.
• Conduct investigations into suspected fraud and document findings.
• Analyze large datasets using SQL to spot fraud patterns.
• Develop and implement fraud prevention rules and controls.
• Stay up-to-date with fraud best practices and threats.

🎯 Requirements

• Bachelor's degree in a relevant field.
• 2+ years in fraud detection, prevention, or investigation.
• 2+ years experience with SQL and Python.
• Strong analytical and problem-solving skills with attention to detail.
• Understanding of common fraud typologies (e.g., account takeover).
• Experience with fraud detection tools and platforms is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and in a fast-paced environment.
• Strong organizational skills and ability to manage priorities.
• High integrity and commitment to ethical practices.

🎁 Benefits

• Collaborative, diverse culture with purpose-driven teammates.
• Remote-friendly, flexible work environment.
• Focus on learning, growth, and career advancement.
• Work-life balance and supportive environment.