Found Description
Requirements
- 3+ years in an analytics or fraud/risk analysis role within fintech, e-commerce, or digital payments
- Experience with fraud or trust analytics
- Bachelor's degree in mathematics, engineering, economics, or another quantitative discipline (or equivalent experience)
- Proficiency with SQL and hands‑on experience analyzing large datasets (Python, R, or statistical modeling experience preferred)
- Strong understanding of fraud taxonomies (chargebacks, identity theft, scams, onboarding risk, and promo abuse)
- Demonstrated ability to distill business problems, develop hypotheses, perform analysis, and communicate clear recommendations
- Excellent data storytelling and communication skills; ability to translate complex findings into business decisions
What the job involves
- As a Data Analyst, Fraud, you will be part of ...