Description

You will develop Auto and Property pricing models within the insurance industry.

Responsibilities

• Develop pricing loss models and underwriting models for Property and Casualty insurance.
• Process and analyze large-sized datasets containing heterogeneous data types.
• Apply predictive modeling techniques to solve pricing problems.
• Perform feature selection, parameter tuning, and model diagnostics.
• Evaluate model performance using established statistical metrics.

Required Skills

• 5+ years of professional experience.
• Bachelor’s degree in a STEM major, such as Math, Statistics, or Data Science.
• Proficiency in Python and SQL for data manipulation and modeling.
• Working knowledge of Snowflake.
• Hands-on experience with Python packages including H2O, sklearn, statsmodels, scipy, numpy, and pandas.
• Conceptual and practical understanding of GLM and GBM.
• Experience with model diagnostics and performance evaluation.

Preferred Skills

• Master’s degree in a STEM field.
• Previous professional experience building pricing loss or underwriting models in the P&C insurance industry.

Key Skills

Education

Bachelor’s Degree