An opportunity has arisen to join Ageas’s Underwriting department in the Technical Pricing team. 

Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. 

While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full-time. 

This exciting role as Technical Pricing Manager offers the opportunity to explore and use new technologies and be involved in delivering strategic change such as improving the sophistication of models and deploying the latest data science techniques to generate profitable business growth. 

The Technical Pricing Manager will manage projects, assist in guiding data preparation, performing and reviewing actuarial modelling and interpreting results that drives high impact and, intelligent pricing solutions – all of which will help drive our competitive positioning. 

The ideal Technical Pricing Manager must be commercially focussed to work in partnership with senior stakeholders for them to make better informed decisions when it comes to setting pricing rates. As a technical expert in your field, the Technical Pricing Manager will manage and develop pricing analysts to turn data into information that ultimately drives a truly value based pricing proposition. 

Main Responsibilities as Technical Pricing Manager: 

• Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing 

• Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems. 

• Producing reports, documentation, and presentations to communicate statistical models and results to key stakeholders. 

• Identifying opportunities to challenge and improve existing methodologies, deploying new analytical techniques that deliver new insights and tangible operational improvements. 

Skills and experience you need as Technical Pricing Manager: 

• Experience of Actuarial pricing or statistical modelling, preferably within a regulated, multi-divisional industry. 

• Experience of data science techniques in Python or R. Specialist knowledge in statistical analysis software – Willis Towers Watson (Emblem, Radar) is highly advantageous. 

• 2.1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering, Physics, Computer Science or Actuarial Science. 

• Expertise in understanding pricing and underwriting principles ideally within personal or commercial lines on a large business scale i.e. Ageas underwrites c. £2bn of GWPs. 

• Making decisions about the production and maintenance of pricing models and evaluate and identify the profitability and price position of new and existing product propositions. 

• A high level of problem solving is required, both logically and laterally, along with an ability to engage in research. 

• The job holder should be able to identify, investigate and interpret the results of an analysis, considering past the more obvious first order effects. 

• Previous experience of working in partnership with teams and senior stakeholders in order to influence, gain buy in and share knowledge with particular emphasis on being able to present difficult concepts clearly.