Main Responsibilities

• Develop, validate, review and share predictive and machine learning models across Ageas group operating companies – in line with the Group TX UW & Pricing Roadmap.
• Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring of pilots and proof of concepts.
• Development and maintenance of pricing models and support for their deployment.
• Carry out pricing analyses and prepare recommendations for senior stakeholders / local pricing teams.
• Working with local pricing teams carry out deployment/send instructions for rate releases and review of rates into rate engine/live environment.
• Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets.
• Deputise for the Senior Pricing Manager where required, including meetings with senior management.

Skills and experience

• Educated to degree level or equivalent in a numerical discipline.
• Experience in insurance pricing or related analytical background.
• Highly skilled in the use of programming language (e.g. SAS) to manipulate data.
• 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.
• Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave).
• Experience of Emblem and Radar.
• Experience of using analytics to solve complex business problems.
• Experience of dealing with and influencing colleagues at all levels up to, and including, senior management and directors.
• Ability to convey advanced statistical concepts to a non statistical audience.
• Self motivated, with the drive, energy and ability to work on own initiative.
• Very strong planning, prioritisation and organisational skills.

To find out more about this role and for information please contact Zoe Powell OR Ad Clarke. Alternatively, click on the “Apply Button” to be considered.