Data Analyst - Fraud Intelligence

Job Summary

Joining a remote-first team, the full-time Data Analyst - Fraud Intelligence will design evaluation frameworks, analyze vendor data quality, and translate findings into actionable intelligence to enhance fraud detection strategies.

Key responsibilities

• Design and execute structured evaluation frameworks for assessing incoming data assets from vendor partners
• Conduct lift analyses and backtests to quantify the value of new data signals against existing fraud detection methods
• Collaborate with fraud leadership to define evaluation criteria based on real fraud outcomes and document results for internal knowledge

Required qualifications

• 3-5 years of experience in data analysis, data science, or a related analytical role, preferably in fraud or fintech
• Proficiency in SQL and experience with Python or R for data manipulation and analysis
• Solid understanding of evaluation metrics and statistical concepts, including A/B testing and precision/recall
• Experience working with external datasets and assessing data quality and signal value
• Ability to communicate complex analyses clearly to non-technical stakeholders