Fraud & Verification Analyst – Risk & Data (Remote, US) 💼 FinTech | Consumer Lending | Remote A fast-growing, data-driven consumer lending platform is seeking a Fraud & Verification Analyst to design and execute advanced fraud detection and risk mitigation strategies. This is a high-impact role that combines analytical expertise, technical skills, and cross-functional collaboration to protect the business and its customers while supporting growth. What You’ll DoMonitor applications, transactions, and customer activity to detect and prevent fraud, including synthetic identities, account takeovers, and first-party fraudApply machine learning models and statistical techniques to enhance fraud detection capabilitiesManage and optimize fraud and verification tools and data providers to ensure ROIBuild and maintain dashboards to track key fraud and risk performance metricsStay up to date on industry best practices, regulatory requirements, and emerging technologies in online-lending fraud preventionCollaborate with Operations, Credit, Technology, and Compliance teams to align fraud strategies with business objectivesWhat We’re Looking ForDegree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field2–5 years of experience in fraud analytics, data science, or related roles, ideally within FinTech or online lendingProficiency in SQL, Excel, and data visualization toolsKnowledge of optimization, stochastic processes, experimental design, and A/B testingStrong understanding of fraud typologies affecting online financial services and relevant regulatory frameworksAnalytical mindset with the ability to distill complex problems into clear, actionable insightsPassion for staying current on methodologies and emerging trends
Connor Nurse