Data Scientist (Fraud)
Remote, South Africa
R
ZAR 700K-860K (estimate) Senior-level Full Time
Tasks
- Build anomaly detection systems
- Design and run fraud intervention experiments
- Measure impact of fraud interventions
- Monitor and retrain fraud models
- Prototype machine learning models for fraud detection
- Size fraud typologies
- Surface novel fraud vectors
- Translate model outputs into fraud mitigations
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Experimentation | Feature Engineering | Fraud Detection | Machine Learning | Model Evaluation | Python | Risk Analytics | SQL | Statistical inference
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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