Related skills
sql python machine learning model deployment feature engineering📋 Description
- Build credit risk models for acquisitions and credit limits
- Collaborate with credit analysts and product managers to solve problems
- Create rich datasets using traditional and non-traditional data sources
- Deploy, maintain and monitor models in production
- Communicate results to senior stakeholders in credit, product and engineering
🎯 Requirements
- 7+ years of data science and credit modeling
- Proficiency in SQL and Python for analysis and modeling
- Experience designing experiments and interpreting results
- Expertise in traditional credit data; cash flow data is a plus
- Clear communication with technical and non-technical partners
🎁 Benefits
- Bonus opportunities, equity and benefits
- Total Rewards vary by region and entity
- Privacy protections and equal opportunity employer
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