VP, AI/ML Model Risk & Governance, Data Management Office
Tasks
- Assess model materiality and criticality
- Challenge model development validation approval
- Collaborate with data scientists and model developers
- Document datasets and feature inputs
- Enhance AI ML governance policies approval processes
- Ensure regulatory compliance fairness explainability accountability
- Evaluate monitoring frameworks drift detection
- Manage AI ML essential data assets metadata
- Partner with risk compliance IT business teams
- Provide model lifecycle oversight
- Review model documentation and methodology
- Support AI ML proof of concept governance
Perks/Benefits
- N/A
Skills/Tech-stack
Drift Detection | Explainable AI | Fairness | Machine Learning | Metadata Management | Model Documentation | Model Governance | Model Risk Management | Model Validation | Model risk | Performance Monitoring | Regulatory Compliance | Responsible AI | Risk Management | Statistical modeling
Education
N/A
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