Data Science Manager, Risk
Tasks
- Automate credit decisioning workflows
- Build credit risk machine learning models
- Collaborate with engineering on production solutions
- Conduct stability analysis
- Create feature engineering frameworks
- Deploy credit risk models
- Design statistical experiments
- Develop data pipelines
- Drive cross-functional risk initiatives
- Evaluate underwriting policies
- Execute reject inference
- Mentor junior analysts
- Monitor model performance
- Optimize risk segmentation
- Perform model governance documentation
- Quantify business impact of models
- Run diagnostic analyses
- Translate insights into credit strategy
- Validate model quality assurance
Perks/Benefits
- Continuing education stipend
- Generous time off
- Health and Wellness Spending Accounts
- Hybrid work environment
- Medical/Dental/Vision insurance
- Parental top-up
- Retirement savings program with employer matching
Skills/Tech-stack
Data Pipelines | Decision Tree | Feature Engineering | Loss forecasting | Machine Learning | Model Governance | Model Monitoring | Model Validation | Model diagnostics | Python | Regression Analysis | Reject inference | SQL | Statistical experimentation
Education
N/A
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