Data Scientist - Credit Risk Modelling
Tasks
- Build machine learning models for credit risk assessment
- Coordinate credit lifecycle change processes
- Design and implement acquisition product and lending strategies with other teams
- Develop and optimize data pipelines and infrastructure
- Develop data extraction wrangling and feature engineering
- Identify data drift and model drift
- Monitor model performance and recalibrate models
- Use external API feeds for decisioning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Cloud Computing | Data Drift | Data Pipelines | Feature Engineering | Gradient boosting | Jupyter | Machine Learning | Model Drift | Model Explainability | Model Validation | NumPy | Pandas | Python | Regression | SQL | Scikit-learn | Web Applications
Education
N/A
Roles
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