• Bachelor's degree in computer science, engineering, or equivalent practical experience in risk, abuse, fraud, or data protection
• 2 years of experience in risk analysis, fraud investigations, detection, prevention, data science, or data analysis
• Experience with querying, building data pipelines/dashboards, and analyzing datasets