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Data Scientist - Risk - Stashfin
Data Scientist
Hands‑on Data Scientist focused on building, calibrating and monitoring risk models for lending portfolios, leveraging Python, SQL and advanced statistical and machine‑learning techniques to improve underwriting and credit scoring.
About the role
Key Responsibilities
- Design, develop, and implement risk models for lending, including credit scoring, underwriting and portfolio monitoring.
- Perform model calibration, validation, and ongoing performance monitoring to ensure regulatory compliance and business effectiveness.
- Conduct quantitative analysis and data exploration to support model decisions, challenger model development, and scorecard enhancements.
- Collaborate with cross‑functional teams to integrate model outputs into production systems and business processes.
- Document model methodology, assumptions, and results, and communicate findings to stakeholders.
Requirements
- Strong programming skills in Python (pandas, scikit‑learn, statsmodels) and proficiency in SQL for data extraction and manipulation.
- Experience with statistical modeling, machine‑learning algorithms, and risk‑modeling techniques applied to credit or lending data.
- Solid understanding of model validation, calibration, and performance monitoring frameworks.
- Ability to translate complex quantitative concepts into actionable business insights.
- Degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) or equivalent experience.
Skills
pythonsqlmachine learningdata analysis