Home Loans Loss Forecasting Analytics, Senior Data Scientist
Tasks
- Analyze borrower risk drivers across credit lifecycle
- Build CECL loss forecasting models
- Build executive dashboards and automated reporting
- Build roll rate models
- Define portfolio performance KPIs
- Develop collections loss mitigation analytics
- Develop delinquency default cure recovery models
- Develop machine learning loss forecasting models
- Monitor model performance through back testing and drift monitoring
- Perform cohort vintage segmentation analysis
- Prepare audit ready documentation and governance artifacts
Perks/Benefits
- N/A
Skills/Tech-stack
CECL | Clustering | Credit Risk | Credit risk modeling | Dashboarding | Data Visualization | Data pipeline | Gradient boosting | Looker | Loss forecasting | Machine Learning | Markov Models | Model Monitoring | Model calibration | Portfolio analytics | Power BI | Python | Random Forests | Regression | Risk Modeling | SQL | Series modeling | Survival analysis | Tableau | Time Series | Time Series Modeling
Education
Roles
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