Sr. Data Scientist (Credit Risk)
Tasks
- Automate reporting dashboards and pipelines for monitoring
- Build credit risk models for lending portfolios
- Communicate model health and portfolio risks to stakeholders
- Conduct loss forecasting stress and scenario analysis
- Create pipelines and analytics for model and portfolio monitoring
- Document model methodologies assumptions and results for audit readiness
- Extract clean and manipulate datasets using SQL and Python
- Identify opportunities to improve decisioning accuracy and modeling techniques
- Maintain and enhance credit risk models and policies
- Perform exploratory data analysis to identify portfolio trends
- Run sensitivity testing for loss forecast performance
- Support model validation and governance reviews
Perks/Benefits
- 401k match
- Dental insurance
- Education Expense Reimbursement
- Employee assistance program
- Employee resource groups
- FSA
- Fitness discounts
- HSA
- Health insurance
- Hybrid work
- Paid time off
- Pet care discounts
- Remote work
- Vision insurance
- Volunteer days
- Wellness support
Skills/Tech-stack
Dashboarding | Data Analysis | Data Visualization | Data pipeline | Exploratory Data Analysis | Logistic Regression | Loss forecasting | Machine Learning | Model Monitoring | Model Validation | Probability and statistics | Python | Rate analysis | Roll Rate | Roll rate analysis | SQL | Scenario Analysis | Scorecard modeling | Sensitivity testing | Series analysis | Stress Testing | Survival analysis | Tableau | Time Series | Time Series Analysis | Vintage modeling | XGBoost
Education
Roles
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