Head Of Data Science & Credit Risk
Tasks
- Build credit bureau and alternative data partnerships
- Build customer value optimization models
- Build fraud detection models
- Define end to end data science and credit risk strategy
- Design and deploy machine learning models for credit scoring
- Develop real time decisioning pipelines
- Develop underwriting models and decisioning systems
- Drive A/B testing and experimentation
- Establish MLOps standards for model deployment and monitoring
- Implement early warning systems for portfolio deterioration
- Improve credit risk policies approval strategies and risk thresholds
- Lead portfolio risk analytics
- Optimize unit economics provisioning strategies and capital allocation
- Perform stress testing and expected credit loss modeling
- Recruit mentor and develop data science and risk teams
- Translate analytical insights for executive leadership
Perks/Benefits
- Access to modern ML stack
- Autonomy
- Equity participation
- Experimentation focused culture
- High-impact role
- Mission-driven environment
- Opportunity for career progression
- Ownership culture
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQuery | Causal Inference | Credit Risk | Credit Scoring | Early Warning | Early warning systems | Expected Credit Loss | Experimentation | Fraud Detection | GCP | MLOps | MLflow | Machine Learning | Portfolio Risk | SQL | Stress Testing | Underwriting
Education
N/A
Roles
Data Science | Head | Head of Credit | Head of Credit Risk | Head of Data | Head of Data Science
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