Data Scientist (Fraud)
Tasks
- Analyze fraud typologies across product lines
- Build anomaly detection systems
- Collaborate with fraud operations and product teams to implement mitigations
- Design and run experiments for fraud interventions
- Evaluate and monitor machine learning models
- Measure impact on loss reduction
- Prototype machine learning models for fraud detection
- Retrain fraud detection models
- Surface novel fraud vectors
Perks/Benefits
- Annual bonus
- Health insurance
- Internal technical talks
- Knowledge sharing
- Learning and development
- Pension
Skills/Tech-stack
Anomaly Detection | Experimentation | Feature Engineering | Fraud Detection | Machine Learning | Model Evaluation | Python | SQL | Statistical inference
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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