Staff Data Scientist, ML (Credit Risk)

What you'll do

• Build credit risk models for customer acquisitions, credit approvals, and credit limit assignments.
• Develop models for ongoing customer management and credit limit increases.
• Create rich datasets using both traditional and non-traditional data sources.
• Build innovative tools to generate powerful features that improve model performance.
• Own the full model lifecycle from data preparation and building to production deployment.
• Deploy, maintain, and monitor models in a production environment.
• Communicate key results and findings to senior stakeholders in credit, product, and engineering.

What we're looking for

• You have 7+ years of experience in data science and credit modeling.
• You have strong proficiency in SQL and Python for data analysis and modeling.
• You have experience designing experiments and interpreting results to guide product decisions.
• You have domain knowledge and expertise in traditional credit data.
• You have experience with non-traditional credit data, such as cash flow (preferred).
• You can communicate clearly with both technical and non-technical partners.