Senior Analyst, Fraud Intelligence

3+ years of experience in fraud analytics, ideally within an e-commerce or retail environment Bachelor’s degree or higher in a quantitative field Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling Proficiency in SQL and experience in Python (pandas, NumPy, scikit-learn, etc.) Exceptional communication and stakeholder management skills High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns

Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse Identify actionable insights, analyze fraud patterns, and validate hypotheses Influence business cases and pricing strategies Develop monitoring frameworks, dashboards, and mitigation solutions Define and execute effective fraud strategies in collaboration with cross-functional teams Champion a culture of continuous learning, experimentation, and collaboration