
Data Analyst - Fraud Intelligence
Responsible for designing and executing evaluation frameworks, performing lift analyses, backtests, and champion/challenger tests, profiling vendor datasets, and translating findings into actionable vendor decisions. Requires 3–5 years of analytical experience (fraud, risk, fintech or data-heavy SaaS), proficiency in SQL and Python or R, strong statistical understanding, and experience working with external datasets.