Lead Pricing Analyst - Strategic Market Pricing

Fantastic opportunity to join our Market Pricing team as a Lead Pricing Analyst, assisting to plan and deliver pricing related projects to deadline and quality standards. They will directly influence the future growth of the business, with key deliverables to increase conversion, retention and overall company income and profitability.

The role will involve the management of detailed analysis of data using sophisticated machine learning and statistical techniques within price optimisation to recommend pricing actions which increase volume, income and profit. In addition, the Lead Pricing Analyst will build pricing capability and core skills within the business, as well as influence the strategic direction of retail pricing in the wider Ageas UK Group.

Main Responsibilities:

• Management, development and coaching of Pricing Analysts.
• Develop, validate, review, and approve predictive machine learning models; exploring new machine learning techniques to improve model predictiveness.
• Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring; exploring new data sets and their ability to enhance models.
• Development and maintenance of pricing models and support for their deployment.
• Carry out price optimisation and improve on existing price optimisation processes using innovative techniques; prepare recommendations for senior stakeholders.
• Carry out deployment and review of rates into live rating engine.
• Maintenance and application of models of customer and market behaviour; incorporating machine learning into behavioural models.
• Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets.
• Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways.
• Execution, development and project management across all stages of the pricing control cycle as required.
• Inform and influence senior management, heads of department, and peers across the Pricing and Underwriting department.
• Deputise for the Senior Pricing Manager or Manager where required, including meetings with senior management of Ageas UK companies.

Skills and Experience:

• Educated to degree level or equivalent in a numerical discipline.
• 3+ years’ 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).
• Knowledge and/or experience of Price Optimisation.
• 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.

Benefits:

• Flexible Working - Smart Working @ Ageas gives employees flexibility around location and working hours.
• A minimum of 35 days holiday (including bank holidays) with options to buy and sell days.
• Health benefits including Dental Insurance, Health Cash Plan, Health Screening, and Well Being Activities.
• Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
• Well-being activities, yoga, mindfulness sessions, Sports and Social Club events.
• Maternity and paternity leave entitlements.
• Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.
• Return to work programme after maternity leave.

We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers. As an inclusive employer, we encourage anyone to apply.