Our client is a leading provider of a comprehensive range of general insurance solutions. They are looking for a Nearly or Newly Qualified Actuary with technical general insurance experience to join their Actuarial Services team as a Manager. The role has a specific focus on their personal lines business and is accountable for a wide range of pricing and other predictive modelling functions that will contribute to the profitable development and financial results of the Group, while also contributing to the development and execution of the broader strategy.

Candidates who are interested should have leadership experience and at least 4 years’ experience in a technical general insurance role. You should have strong modelling skills including experience in building pricing or predictive models as well as performing experience analyses and other statistical investigations. You should also have experience in data and modelling software, e.g. SAS, WTW Emblem / Radar, SQL, Python or similar. You must have excellent report writing and presentation skills and the ability to communicate complex ideas across a range of technical and non-technical stakeholders.

Responsibilities will include:

• Developing and maintaining effective pricing and risk management strategies across various platforms to balance profitability and growth.
• Supporting current pricing, client segmentation and optimisation models.
• Performance monitoring of financial, underwriting and distribution indicators.
• Creating and maintaining business reports to direct thought processes that drives action.
• Continuous process improvement and strategy evaluation.
• Participating in strategic projects where actuarial input is required.
• Interacting with underwriting, distribution and claims departments throughout the group with the objective of constantly incorporating market trends into the product solution value chain.
• Supporting the development of product solutions for various market segments and channels.
• Providing direction around developing and maintaining internal data assets to support predictive modelling initiatives.

For more information, please contact Henda.