Supporting the development and optimization of fraud strategies, the full-time remote Fraud Data Analyst will manage fraud prevention and detection efforts across various payment processes, utilizing SQL to analyze data and improve fraud controls. Key responsibilities Develop and maintain fraud risk policies, strategies, and controls for onboarding and monitoring workflows Independently query data using SQL to identify fraud patterns, validate hypotheses, and evaluate strategy performance Collaborate with cross-functional teams to incorporate operational feedback into fraud strategy improvements Required qualifications 3-5 years of experience in fraud strategy, fraud analytics, or related fields Mandatory SQL experience for data querying and hypothesis validation Exposure to data science, statistics, and analytical methods relevant to fraud decisioning Experience collaborating with stakeholders in fraud operations, risk analytics, or payment operations Bachelor's degree in a related field or equivalent practical experience