Data Science Manager, Risk
Summary
Leads credit risk modeling and automation at a fintech firm, building ML models for credit decisioning, optimizing risk segmentation, and mentoring analysts while ensuring model governance and performance monitoring.
- 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