Predictive Modeling & Risk Scientist
New
C
Cover Whale Insurance SolutionsInsurance Insurtech
New York, New York, United States. Boston, Massachusetts, United States. Charlotte, North Carolina, United States. Washington, District of Columbia, United States. Orlando, Florida, United States. Philadelphia, Pennsylvania, United StatesFull-TimeMiddle
Salary128,000 - 185,000 USD per year
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Job Details
- Required Skills
- PythonSQLData AnalysisMachine Learning
Requirements
- Experience with insurance analytics, actuarial modeling, or predictive risk modeling in the insurance industry.
- Strong proficiency in Python for statistical modeling and data analysis.
- Comfortable leveraging AI-assisted coding tools (Claude, Copilot, etc.).
- Experience working with large-scale datasets and building production-grade analytical models.
- Demonstrated experience with actuarial reserving models or insurance forecasting methodologies.
- Experience applying machine learning techniques such as regression models, gradient boosting, classification models, or anomaly detection.
- Ability to design models that influence pricing, underwriting decisions, and portfolio risk management.
- Strong SQL and data manipulation skills.
- Experience building automated analytical pipelines or reporting workflows.
Responsibilities
- Own and continuously improve the end-to-end reserving process.
- Develop and deploy predictive models using telematics, claims, and policy data.
- Build and refine large loss models using claims notes and historical data.
- Design and implement dynamic pricing frameworks.
- Translate complex data insights into actionable recommendations.
- Produce carrier-level reporting deliverables.
- Create agency-level and geographic performance insights.
- Automate recurring analyses and reporting workflows.
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