- Design and build analytical models to enhance underwriting and risk assessment.
- Identify and apply innovative data sources to support better underwriting decisions.
- Collaborate with underwriting, senior leadership, and actuarial teams to implement business strategies.
- Build and deploy pricing models, conduct profitability and segmentation analyses, and support portfolio management.
- Maintain strong relationships with underwriting teams and provide support to other team members as needed.
- Strong experience with data analysis and model building (SQL, Python, or R).
- Bachelor's or master's degree in a quantitative or computational field, or equivalent relevant experience.
- Ability to work with large data sets and derive actionable insights.
- Excellent problem-solving skills and a passion for driving innovation in a fast-paced environment