Senior Data Analyst - Fraud Prevention
Tasks
- Analyze machine learning model outputs
- Assess vendor data requirements
- Build fraud prevention analytics
- Collaborate with product and engineering teams
- Define fraud prevention KPIs
- Design fraud rules
- Develop alerting systems
- Ensure PII compliance
- Ensure fraud data governance
- Evaluate fraud prevention vendors
- Forecast chargeback volumes
- Forecast fraud losses
- Maintain fraud rule lifecycle
- Monitor false positive rates
- Provide performance feedback for model updates
- Test fraud rules
- Track North Star metrics
- Translate operational abuse patterns into analytics improvements
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Alerting | B testing | Chargebacks | Dashboards | Data Governance | Fraud Detection | Fraud Rules | KPI Development | Machine Learning | PII compliance | Python | Risk Analysis | SQL | Statistical Analysis
Education
N/A
Roles
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