Quantitative Model Analyst
Tasks
- Analyze model metrics and recommend improvements
- Automate workflows to improve efficiency and reduce operational risk
- Challenge existing and new models to identify weaknesses
- Develop expected loss forecasting models
- Document model methodology and evidence
- Perform model validation and regulatory review testing
- Respond to questions from senior management and regulators
- Review and revise segmentation and modeling approach
- Support CCAR stress testing submissions
- Support CECL process documentation and overlay development
- Write and execute code for data analysis and modeling
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Bash | CCAR | CECL | Cloud Computing | Credit Risk | Credit Risk Management | Credit risk modeling | Data Validation | Data Visualization | Economic Factor Models | Exposure at Default | Factor models | Git | Loss Given Default | Machine Learning | Microsoft Power | Microsoft Power Apps | Microsoft Power Automate | Model Governance | Model performance | Model performance testing | Performance Testing | Power Apps | Power Automate | Power BI | Probability of Default | Python | R | Regression | Risk Management | Risk Modeling | SAS | SQL | Statistical modeling | Stress Testing | Version control
Education
Roles
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