Data Scientist I - Fraud Model Governance
Tasks
- Analyze large datasets
- Collaborate with developers to challenge model methodology
- Develop model technical documentation
- Monitor model performance
- Perform root cause analysis and gap analysis for model performance
- Produce analytics for early model results
- Support artificial intelligence model policy and risk mitigation
- Track model changes after deployment
- Validate models with model risk management legal and compliance teams
Perks/Benefits
Skills/Tech-stack
Data Modeling | Data Visualization | Graph Analysis | Machine Learning | Model Monitoring | Neural Networks | Project Management | Python | Risk Management | SAS | SQL | Technical writing | XGBoost
Education
Regions
Countries
States
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