Sr. Actuary Analyst

Our client is offering an invaluable opportunity for individuals with passion for data science and interest in the insurance industry to work on Auto and Property pricing model development with the direct guidance from top talent in the industry.
- Bachelor's degree is required in a STEM major (math, statistics, or data science); master's degree is strongly preferred.
- It is desirable but not mandatory to have previous professional experience in building pricing loss models or underwriting models in the Property and Casualty insurance industry.
- Quick learner and detail-oriented individual with sense of urgency, resilience to pressure, can-do attitude, and high curiosity.
- Highly efficient in working on large-sized datasets with heterogeneous data types by using SQL and Python. The assessment for coding might be arranged during the interview.
- Both conceptual understanding and working knowledge of predictive modeling are required, including but not limited to GLM, GBM, Feature Selection, Parameter Tuning, Model Diagnostics, and Performance Evaluation. A technical assessment might be arranged during the interview.
- Hands-on experience in using various Python packages for the predictive modeling development, including but not limited to H2O, sklearn, statsmodels, scipy, numpy, and pandas