Data Scientist (Fraud)

Tasks

• Build anomaly detection systems
• Build fraud detection machine learning models
• Design and run experiments
• Identify fraud typologies for prioritization
• Measure impact of fraud interventions
• Monitor and retrain fraud models
• Translate model outputs into production mitigations

Perks/Benefits

• Annual bonus
• Health insurance
• Knowledge sharing
• Learning and development
• Pension

Skills/Tech-stack

Anomaly Detection | Experiment design | Feature Engineering | Fraud Detection | Machine Learning | Model Evaluation | Python | SQL | Statistical inference