Manager, Actuarial Customer Segmentation - Toronto, Canada - Gore Mutual Insurance
Description
We are on a new path called NEXT HORIZON
The insurance industry is changing at an exponential pace, driven by changing customer experience, climate change and technology.
In response Gore Mutual is making bold moves to reposition our company as a purpose driven, digitally led national insurer.
Next Horizon is our 10-year vision and strategy that sets a new path for our company._ Come and make your mark on our Next Horizon_
The Role
The Pricing & Actuarial team at Gore Mutual is rapidly expanding.
We're looking for exceptional talent as the founding member of the Customer Segmentation team and provide innovative solutions that will help us grow profitably.
Reporting to the Technical Director, you will work closely with Personal Lines and Commercial Lines Underwriting and other business stakeholders to build out a suite of customer segmentation models.
Our Actuaries collaborate with other parts of the business as a dynamic team and leverage predictive analytics to develop sophisticated pricing models that support our business strategy and our mission to
_change insurance for good_.
How you will make a difference at Gore:
- Be the founding member of the Customer Segmentation Team
- Develop and implement sophisticated demand and retention models
- Work with other Actuarial teams to develop ensemble models
- Provide appropriate recommendations and insights to senior management
- Using actuarial best practices, contribute with innovative approaches and propose effective solutions to meet the organization's objectives
- Provide accurate technical insights to other areas of the business
- Provide leadership, coaching, training, and development opportunities to team members
- Understand our purpose and values, exploring opportunities for positive impact
What will you need to succeed?
- Minimum 6 years of P&C actuarial experience, pricing experience preferred
- Ability to communicate and present ideas and recommendations clearly and professionally
- A Fellow from the Casualty Actuarial Society (FCAS) or equivalent experience
- Master's / Bachelor's Degree in Actuarial Science, Statistics, Math or Data Science
- Solid technical knowledge and programming skills with experience using modern predictive modelling techniques (i.e. GLM, GAM, GBM) and creating models from scratch
- Excellent analytical, quantitative, and critical thinking skills, with the ability to conduct detailed analysis of information, and implement best solutions in a timely manner
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