Description

You will develop Auto and Property pricing models using large-scale heterogeneous datasets.

Responsibilities

• Develop pricing loss and underwriting models for Auto and Property lines.
• Process and analyze large-sized datasets using SQL and Python.
• Apply predictive modeling techniques including GLM and GBM.
• Execute feature selection, parameter tuning, model diagnostics, and performance evaluation.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python and SQL for data manipulation.
• Experience with Snowflake.
• Hands-on experience with Python packages: H2O, sklearn, statsmodels, scipy, numpy, and pandas.
• Working knowledge of predictive modeling: GLM, GBM, Feature Selection, Parameter Tuning, Model Diagnostics, and Performance Evaluation.
• Bachelor’s degree in a STEM major (math, statistics, or data science).
• Ability to pass technical coding and predictive modeling assessments.

Preferred Skills

• Master’s degree in a STEM field.
• Professional experience building pricing loss or underwriting models in the Property and Casualty insurance industry.

Key Skills

Education

Bachelor’s Degree