Related skills
aws sql python pandas mlops📋 Description
- Lead design and delivery of predictive analytics for underwriting decisions.
- Build, test, validate, and deploy predictive/optimization models.
- Improve lending operations with decision engines and data integration.
- Develop end-to-end analytics from data collection to deployment.
- Ensure results align with KPIs and measurable outcomes.
- Present findings to stakeholders and clients for data-driven decisions.
🎯 Requirements
- BS/MS in statistics, data science, analytics, math, economics or finance preferred.
- 4+ years building/validating predictive credit risk models.
- Model development, deployment, testing, validation and monitoring experience.
- Expert Python with Pandas and Scikit-learn for model work.
- Strong SQL for data querying and manipulation.
- AWS proficiency for training, building, and deploying models; MLOps.
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