AVP/VP, Underwriting Analytics
USD 105K-192K Executive-level Full Time
Tasks
- Apply statistical/machine learning techniques
- Build decision tools
- Build risk segmentation models
- Communicate technical findings
- Conduct performance attribution
- Create visualizations and presentations
- Detect anomalies
- Develop analytical models
- Document models and data pipelines
- Engineer data products
- Engineer insurance data features
- Implement version control and testing
- Improve analytics capabilities
- Monitor model performance
- Monitor portfolio performance
- Optimize underwriting
- Perform exploratory data analysis
- Run propensity analysis
- Stay current with applied analytics methods
- Translate business questions into analytical solutions
- Validate analytical workflows
Perks/Benefits
- 401k savings
- Employee assistance program
- Health and welfare benefits
- Hybrid work
- Inclusive culture
- Professional development opportunities
- Retirement programs
- Supportive leaders
- Tuition assistance
Skills/Tech-stack
Anomaly Detection | Cloud Computing | Clustering | Data Mining | Data Pipelines | Data Visualization | Decision Trees | Diagnostic Modeling | Feature Engineering | Generalized Linear Models | Linear Models | Machine Learning | Model Deployment | Model Evaluation | Model Validation | Predictive Modeling | Probability | Python | R | Regularization | SQL | Series analysis | Statistical modeling | Statistics | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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