Data Scientist - Fraud Analytics

Tasks

• Analyse large datasets
• Assist with model implementation and testing
• Collaborate with risk and technology teams
• Conduct feature engineering
• Deploy fraud detection models
• Develop fraud detection models
• Evaluate model performance
• Monitor model post-deployment
• Optimize fraud detection strategies
• Perform data analysis
• Recommend improvements to fraud prevention
• Support model governance
• Validate fraud detection models

Perks/Benefits

• N/A

Skills/Tech-stack

Data Analysis | Feature Engineering | Fraud typologies | Machine Learning | Model Performance Monitoring | Model performance | Performance Monitoring | Python | R | SQL | Statistical Analysis