Overview
Key Duties (Including but not limited to):
Develop and coach Pricing AnalystsDevelop, validate, review, and approve predictive machine learning models, exploring new techniques to improve model predictabilityDeliver up-to-date and accurate datasets for modelling, pricing, and monitoring, while exploring new data sets to enhance modelsDevelop and maintain pricing models and support their deploymentQualifications required:
Degree level or equivalent in a numerical disciplineExperience required:
2+ years’ experience in insurance pricing or a related analytical backgroundProficient in using programming languages (e.g., SAS) to manipulate dataExperience with predictive modelling techniques such as Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines, and Neural Nets