onsite
Data Scientist - Stashfin
Data Scientist
Data Scientist focused on credit risk and growth modeling for consumer lending, building acquisition scorecards, propensity models, and behavioral scorecards using Python, SQL, and advanced machine learning techniques.
About the role
Key Responsibilities
- Develop acquisition scorecards (NTC, thin-file, full-file) to support underwriting decisions.
- Build affluence and income estimation models to enhance customer segmentation.
- Design and implement propensity and intent models for cross‑sell and targeted marketing.
- Create behavioral scorecards for portfolio management and risk monitoring.
- Engineer features from bureau, banking, and behavioral data to improve model performance.
- Deploy, monitor, and recalibrate models in production environments.
Requirements
- Strong experience in credit risk and growth modeling for consumer lending.
- Proficiency in Python, SQL, and machine learning libraries (scikit‑learn, XGBoost, etc.).
- Hands‑on experience with feature engineering, model validation, and deployment pipelines.
- Excellent analytical skills and ability to translate business needs into data solutions.
- Collaborative mindset to work with Risk, Product, and Engineering teams.
Skills
pythonsqlmachine learning