Head of Model Risk & Data Quality
Tasks
- Advise teams on model development validation and implementation
- Collaborate with data teams on data observability platform
- Develop model risk management framework
- Ensure compliance with model risk regulations
- Ensure model documentation for development and validation
- Improve data quality and monitor data feeding models
- Monitor model performance over time and recommend updates
- Provide model reporting to risk committees and executives
- Review model validation accuracy performance predictive power
- Train staff and raise model risk awareness
Perks/Benefits
Skills/Tech-stack
Dashboards | Data Observability | Data Quality | Financial risk | Market Risk | Mathematical Modeling | Model Risk Management | Model Validation | Model risk | Operational Risk | Predictive Analytics | Python | Regulatory Compliance | Risk Management | SQL | Statistics
Education
N/A
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