Senior Consultant - Fraud Analytics
Tasks
- Analyze large datasets for fraud patterns
- Build fraud dashboards
- Create management reporting
- Deploy fraud detection models
- Design fraud detection rules models
- Develop fraud detection models
- Develop fraud risk strategies
- Evaluate fraud rules and models metrics
- Monitor models for fraud analytics
- Perform data preparation and feature engineering
- Present analytical findings to clients
- Translate business challenges into analytical use cases
- Validate fraud detection models
Perks/Benefits
- Career development
- Coaching and feedback
- Dental insurance
- Flexible work arrangement
- Medical insurance
- Paid Holidays
- Paid personal days
- Pension plan
- Prescription Coverage
- Vacation policy
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Behavioral analytics | Clustering | Entity Resolution | Explainable AI | False Positive | False Positive Rate | Feature Engineering | Fraud Detection | Gradient boosting | Graph analytics | MLOps | Machine Learning | Model Governance | Model Monitoring | Network Analytics | Neural Networks | PowerBI | Precisión | Python | R | Random Forests | Recall | SAS | SQL | Supervised Learning | Unsupervised Learning
Education
N/A
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