Senior Data Scientist (Fraud)
Tasks
- Assess fraud typologies across product lines
- Build anomaly detection systems to surface fraud vectors
- Communicate model insights to stakeholders
- Design and run experiments for fraud interventions
- Evaluate and productionize fraud detection models
- Monitor model performance and retrain models
- Prototype machine learning models for fraud detection
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Experimentation | Feature Engineering | Fraud Detection | Machine Learning | Model Evaluation | Python | Retraining | Risk Analytics | SQL | Statistical inference
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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