Quantitative Risk, SrAssc
Tasks
- Apply machine learning approaches
- Assess model theoretical soundness
- Conduct statistical analysis
- Coordinate with model developers and business partners
- Document validation methodology and results
- Evaluate data integrity
- Execute quantitative testing
- Perform independent model validation
- Streamline analytical process through automation
- Support credit risk and market risk model validation
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
Automation | Credit Risk | Data Integrity | MATLAB | Machine Learning | Market Risk | Model Validation | Python | R | Statistical Analysis
Education
Roles
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