Data Science Manager (Credit)
Tasks
- Build churn management models
- Build collections optimization models
- Build retention optimization models
- Develop affordability models
- Develop behavioral models
- Develop credit scoring models
- Embed decision logic into real time systems
- Ensure model compliance and ethical use
- Ensure model data quality
- Mentor teams on experimentation best practices
- Optimize profitability using model outputs
- Run experiments to optimize approval rates and loss rates
Perks/Benefits
- Career growth opportunities
- Continuous learning opportunities
- Flexible work arrangements
- Health insurance
- Pension plans
Skills/Tech-stack
A/B | A/B Testing | B testing | Churn management | Collections modeling | Consumer lending | Credit Risk | Customer Acquisition | Customer Retention | Data Modeling | Experimentation | Loss modeling | Machine Learning | Portfolio performance | Predictive Modeling | Python | R | Real Time | Real-time Systems | SQL | Statistics | Time Systems | Underwriting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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