Risk Data Analyst SSR
Santander(28 days ago)
About this role
A Risk Data Analyst SSr at Santander Argentina develops advanced predictive models using non-traditional data and machine learning to support credit risk decisioning. The role contributes to Santander's technology-driven transformation by delivering production-grade models and insights that inform data-driven policies. The position is based in Buenos Aires and collaborates with risk, portfolio management and validation teams.
Required Skills
- Python
- SQL
- PySpark
- Machine Learning
- Modeling
- Model Validation
- Explainability
- Feature Importance
- Risk Metrics
- Big Data
Qualifications
- Degree in Actuarial Science
- Degree in Economics
- Degree in Mathematics
- Degree in Statistics
- Degree in Engineering
- Postgraduate in Data Science or Machine Learning (preferred)
- Formal Courses in Data Science or Credit Risk (preferred)
- Intermediate English
About Santander
santander.comSantander is a global banking group headquartered in Spain that provides retail, corporate and investment banking, payments, asset management and insurance across Europe, Latin America and other markets. Its stated purpose is to help people and businesses prosper, guided by the values Simple, Personal and Fair, and it serves customers through a mix of branch networks and digital channels. Companies and consumers choose Santander for its broad product set, international footprint and focus on digital innovation and sustainable finance.
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