Fraud Data Analyst - Luxembourg
Tasks
- Analyze security friction and improve user experience
- Architect real time decisioning strategies
- Create end to end mitigation strategies
- Define analytical requirements for new features
- Detect emerging payment fraud schemes
- Develop fraud detection rules
- Integrate model scores with heuristic rules
- Monitor rule efficacy and portfolio health
- Operationalize machine learning models
- Optimize false/positive rates
- Present performance reporting to leadership
Perks/Benefits
- Additional leave for child sickness
- Enhanced parental leave
- Flexible working hours
- Hybrid working
- Internal mobility
- Language courses
- Meal vouchers
- Mental health workshops
- Private insurance
- Professional development programs
- Psychological support
- Relocation support
- Stock option plan
- Unlimited paid time off
Skills/Tech-stack
Data Science | GraphQL | Machine Learning | PySpark | Python | Real Time | Real-time Decisioning | SQL
Education
N/A
Roles
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