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Household Pricing Manager

Ageas

Salary From:

£60,000.00

Permanent

Multiple Office Locations

Ageas are seeking a highly skilled Household (HH) Pricing Manager to join our team working across our HH products. As a Pricing Manager, you will be responsible for overseeing and managing the pricing strategies and risk assessment processes to optimise profitability and manage risk across our organisation. 


You will work closely with cross-functional teams, including underwriters, actuaries, and data scientists, to develop and implement pricing models, analyse market trends, and make data-driven decisions to ensure our pricing strategies align with our business objectives. The Pricing Manager will plan and deliver pricing related projects to deadline and quality standards. They will directly influence the future growth and profitability of the business. 


The role will involve the management of detailed analysis of data using sophisticated actuarial and statistical techniques in order to recommend pricing actions which increases volume and hits profit targets. In addition, the Pricing Manager will build pricing capability and core skills within the business, as well as influence the strategic direction of risk pricing and within the wider Ageas UK Group. 


Main Responsibilities as Household Pricing Manager: 

  • Management, development and coaching of pricing analysts at Lead, Senior and Analyst level (circa team of 5). 

  • Monitoring and management of trading position to ensure group targets are met. 

  • Approving predictive and machine learning models and ensuring best practice. 

  • Data enhancement, governance and ensuring accurate and relevant datasets for modelling, pricing and monitoring. 

  • Development and maintenance of pricing models and support for their deployment. 

  • Compiling and ensuring the timely delivery of results and recommendations for pricing committee. 

  • 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. 

  • Preparation of budget and forecasts. 

  • Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways. 

  • Project management across all stages of the price control cycle as required. Inform and influence senior management and heads of department. 

  • Deputise for Senior Managers/the Head of Pricing where required, including meetings with senior management and directors of Ageas UK companies. 

  • Maintain knowledge of wider external environment and feed developments back into in Ageas’ pricing strategy – especially with regards to good customer outcomes. 


Skills and experience you need as Household Pricing Manager: 

  • Educated to degree level or equivalent in a numerical discipline or qualified by experience. 

  • Extensive 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 and Random Forests. 

  • Experienced in the use of a programming language - R, Python, SQL. 

  • Experience in using Emblem, Radar, Databricks. 

  • Experience of using analytics to solve complex business problems. 

  • Effective coaching of junior staff and development of pricing skills. 

  • 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.

analytics, coaching, data, databricks, emblem, governance, machine learning, modelling, pricing, python, radar, risk, sas, sql, statistical

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