Job Description

The Fraud and Lead Quality Analyst will build and maintain an enterprise-wide fraud detection and management program, ensuring high lead quality and low false positive/negative rates. This role involves data-driven analysis, operational management of fraud detection platforms, and collaboration with business development and sales teams to tailor the program to unique business risks. The analyst will also create a feedback process with partners and marketing teams for continuous improvement of lead quality.

Responsibilities

• Provide data-driven analytics on fraudulent activity
• Improve efficacy and accuracy of fraud detection
• Analyze overall lead quality
• Make data-driven improvements to programs
• Evaluate fraud/quality control products
• Collect and transfer data to Snowflake
• Write queries and create dashboards
• Employ machine learning techniques
• Address business needs in a cross-functional capacity
• Monitor fraud detection program
• Work with partners to investigate fraud
• Maintain regulatory compliance
• Perform data analysis and presentation

Requirements

• 2+ years of experience in fraud management or lead quality assurance
• Strong data analytics/data engineering skillset
• Expertise with Snowflake, Sumologic, and Tableau
• Experience with fraud detection in FinTech
• Knowledge of financial fraud management techniques
• Skill with cloud data solutions
• Database analysis skills
• Knowledge of fraud attack vectors
• Knowledge of information security tools is a plus
• Strong cross-functional collaboration skills

Benefits

• No benefits