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.
Bachelors degree is required in a STEM major (math statistics or data science); masters 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 detailoriented individual with sense of urgency resilience to pressure cando attitude and high curiosity.
Highly efficient in working on largesized 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.
Handson experience in using various Python packages for the predictive modeling development including but not limited to H2O sklearn statsmodels scipy numpy and pandas.