Overview
Key Duties (Including but not limited to):
1. Management, development and coaching of Pricing Analysts
2. Develop, validate, review, and approve predictive machine learning models; exploring new machine learning techniques to improve model predictiveness
3. Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring; exploring new data sets and their ability to enhance models
4. Development and maintenance of pricing models and support for their deployment
Experience required:
5. 3+ years’ experience in insurance pricing or related analytical background
6. Highly skilled in the use of programming language (e.g. SAS) to manipulate data
7. Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets