Data-driven and proactive, the full-time Senior Fraud Intelligence Analyst will analyze large-scale behavioral and transactional data to identify fraud patterns, develop monitoring frameworks, and collaborate with cross-functional teams in a remote environment. Key responsibilities Analyze large-scale data to uncover signals indicative of fraud and abuse Develop monitoring frameworks and dashboards to respond to emerging fraud threats Participate in design and code reviews while mentoring junior analysts on best practices Required qualifications 3+ years of experience in fraud analytics, preferably in e-commerce or retail Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, or Computer Science Proficiency in SQL and experience with Python libraries such as pandas and NumPy Strong grasp of core data science concepts, including statistical analysis and modeling Experience in evaluating or tuning automated decisioning systems is a plus
Senior Fraud Intelligence Analyst in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.