Data Scientist, Credit Risk Analytics
Tasks
- Analyze portfolio performance and identify trends
- Build machine learning models for credit and fraud risks
- Conduct root cause analysis for performance drivers
- Deploy predictive models to production
- Develop internal data science tools and workflows
- Evaluate new machine learning algorithms and features
- Monitor model and strategy performance in production
- Perform ad hoc risk analyses for stakeholders
Perks/Benefits
- 401k match
- Childcare assistance
- Flexible time off
- Health coverage
- Paid parental leave
- Pet insurance
- Udemy access
- Wellness allowance
Skills/Tech-stack
Credit Risk | Credit risk modeling | Data Modeling | Database querying | Fraud Detection | MLOps | Machine Learning | Model Documentation | Predictive Modeling | Python | Risk Modeling | SQL | Statistical Analysis
Education
Roles
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