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How You'll Make an Impact:
- Analyze fraud and risky user behavior to identify patterns, anomalies, and drivers of losses or customer friction.
- Conduct fraud investigations and deep dives into alerts, trends, spikes, and known fraud MOs.
- Support rule reviews, tuning, and policy changes by providing data and analysis.
Why You're a Great Fit:
- 4+ years of experience in fraud analysis, risk operations, or a related role.
- Working knowledge of fraud typologies such as payments fraud, ATO, abuse, social engineering, or identity fraud.
- Proficiency in SQL for querying data and validating trends.
Tilt
Tilt offers mobile-first products and machine learning-powered credit models to recognize real potential beyond traditional credit scores. They are known as one of the next billion-dollar startups, changing how people access financial products and creating a new credit system.