Head Of Data Science & Credit Risk
Tasks
- Build decisioning pipelines for credit underwriting
- Build partnerships with data providers and credit bureaus
- Conduct stress testing and expected credit loss modeling
- Define end to end data science and credit risk strategy
- Design and deploy machine learning models for credit scoring
- Design and deploy machine learning models for fraud detection
- Develop credit risk policies and approval strategies
- Drive experimentation with A/B testing
- Establish MLOps standards for model deployment
- Implement early warning systems
- Monitor model performance in production
- Perform portfolio risk analytics
- Recruit, mentor, and develop data science team
- Translate analytics into executive insights
Perks/Benefits
- Career progression
- Equity participation
- Experimentation focused culture
- High-impact role
- Mission-driven environment
- Modern ML stack access
- Ownership and autonomy
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQuery | Causal Inference | Credit Risk | Credit Scoring | Data Analysis | Decisioning systems | Early Warning | Early warning systems | Expected Credit Loss | Fraud Detection | GCP | Large Scale Data | Large-scale | Large-scale data analysis | MLOps | MLflow | Machine Learning | Model Monitoring | Model versioning | SQL | Statistical modeling | Stress Testing | Underwriting
Education
N/A
Roles
Data Science | Data Science Manager | Head | Head of Credit | Head of Credit Risk | Head of Data | Head of Data Science | Manager
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