Fraud and Lead Quality Analyst

This Fraud and Lead Quality Analyst role within LendingTree focuses on building and maintaining an efficient fraud detection and management program. The role involves data-driven analysis, managing fraud alerts, partnering with internal teams (business development, sales, customer service), and improving fraud detection models. The ideal candidate will be proficient in data analytics and fraud management techniques.

Requirements

• At least two years professional experience in fraud management or lead quality assurance
• Strong data analytics/data engineering skills
• Experience with financial fraud management techniques and machine learning
• Experience with information security tooling and cloud data solutions (e.g., Snowflake)
• Knowledge of regulatory requirements and industry standard tools

Benefits

• Dynamic fintech environment
• Collaborative work environment
• Entrepreneurial culture
• Rewarding innovation, creativity, and do-gooding