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looker sql python machine learning underwriting๐ Description
- Lead analysts to develop credit and pricing strategies for Borrowing.
- Collaborate with engineering, marketing, product, and risk to design new products.
- Develop and maintain NPV models and affordability strategies for underwriting.
- Monitor Borrowing performance and report to stakeholders up to exec level.
- Build and own database tables and dashboards for rapid, data-driven decisions.
- Work in a product squad with PMs, Engineers, Designers, and Data Scientists.
๐ฏ Requirements
- Extensive experience in unsecured lending in Spain.
- Deep understanding of lending economics; experience with underwriting strategies and credit models.
- Strong analytical/data capabilities; SQL mandatory; Python & Looker a plus.
- Experience developing and maintaining NPV models.
- Strong understanding of lending regulations in Spain.
- Track record leading and developing analytical teams.
๐ Benefits
- Hybrid working model based in Barcelona or Madrid office (2-3 days).
- Annual Leave: 38 days including holidays.
- โฌ1,200 learning budget per year.
- Private healthcare scheme.
- Wellbeing benefits: financial education and health support.
- Flexible working hours.
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