onsite
Senior Data Scientist - Credit Risk - Achieve
Data Scientist
Senior Data Scientist focused on credit risk, leveraging Python and SQL to build, monitor, and enhance loss‑forecasting models, turning data insights into actionable business strategies.
About the role
Key Responsibilities
- Design, develop, and maintain credit risk models and policies to monitor portfolio performance.
- Analyze large datasets using SQL and Python to extract actionable insights for business stakeholders.
- Build and validate loss‑forecasting models, ensuring accuracy and regulatory compliance.
- Monitor model performance, conduct regular back‑testing, and implement improvements.
- Communicate findings and recommendations to cross‑functional teams, translating technical results into business impact.
Requirements
- Proven experience as a data scientist in credit risk or related domain.
- Strong programming skills in Python and SQL, with ability to write efficient, scalable code.
- Deep understanding of credit risk modeling techniques, loss forecasting, and model validation.
- Excellent analytical, problem‑solving, and communication skills.
- Experience with model monitoring frameworks and regulatory reporting is a plus.
Skills
pythonsqldata analysis