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 Do
- Monitor applications, transactions, and customer activity to detect and prevent fraud, including synthetic identities, account takeovers, and first-party fraud
- Apply machine learning models and statistical techniques to enhance fraud detection capabilities
- Manage and optimize fraud and verification tools and data providers to ensure ROI
- Build and maintain dashboards to track key fraud and risk performance metrics
- Stay up to date on industry best practices, regulatory requirements, and emerging technologies in online-lending fraud prevention
- Collaborate with Operations, Credit, Technology, and Compliance teams to align fraud strategies with business objectives
- Degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field
- 2–5 years of experience in fraud analytics, data science, or related roles, ideally within FinTech or online lending
- Proficiency in SQL, Excel, and data visualization tools
- Knowledge of optimization, stochastic processes, experimental design, and A/B testing
- Strong understanding of fraud typologies affecting online financial services and relevant regulatory frameworks
- Analytical mindset with the ability to distill complex problems into clear, actionable insights
- Passion for staying current on methodologies and emerging trends
