Wholesale Credit Risk Quantitative Research
Tasks
- Backtest credit risk models
- Build credit risk models end to end
- Build data pipelines with controls
- Develop explainable risk models
- Document models for regulatory reviews
- Forecast risk using statistics econometrics and AI ML
- Monitor model performance
- Perform model governance
- Present model results to risk committees
Perks/Benefits
- N/A
Skills/Tech-stack
Credit Risk | Credit risk modeling | Data Controls | Data Pipelines | Data cleaning | Econometrics | Explainable AI | Feature Engineering | Logistic Regression | Machine Learning | Model Governance | Python | Reproducibility | Risk Modeling | SQL | Statistics | Testing | Time Series | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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