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Contact Information:
Darren Rossiter
Ageas Insurance
Ageas House
Gloucester Business Park
The Square
Brockworth
Gloucester
GL3 4AD

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A range of Pricing roles available – All Levels!

UK Ageas Offices (Hybrid roles)

Do you have experience in Pricing?

Our Pricing department are looking to bring onboard a range of Personal Lines Pricing Candidates, to join teams as a senior, lead analyst, and pricing managers based (on a hybrid basis), in our offices throughout the UK.

This is a hugely exciting time for Ageas – we are expanding and have a plethora of roles available across Risk and Retail Pricing covering both motor and household product lines!
You will engage with the Underwriting team, Actuarial and data science teams, Test Teams and IT Developers. In these roles, you will be producing and examining pricing data and make recommendations to optimise profitable growth and, help implement pricing structures. Therefore, solid knowledge of the personal lines market, pricing, and underwriting fundamentals, along with working knowledge of Excel and SAS is a must.

The Pricing Analysts must have GI experience ideally in Personal Lines, be highly numerate and have an inquisitive nature with a flair for manipulating and interpreting data to help improve business performance. Some roles have a strong research and development focus, so we value self-motivated candidates with independent research experience and the proven ability to drive complex projects through the complete development cycle, from early conceptualization to implementation
This is a great opportunity for Pricing Analysts with a range of capabilities and experience, who are looking for variety in their pricing career, and with an established and reputable insurance provider.

Main responsibilities:

Carry out pricing reviews of Ageas standard portfolios and key accounts, through analysis of the profile, mix trends and performance including by rating factors, new business acquisition and renewal retention.
To make pricing changes/recommendations as appropriate, engaging actively with Underwriting teams, to control areas of poor performance and optimise profitable growth and to present these at the appropriate sign off committee.
Produce, monitor, and report on new and current management information to support pricing findings.
Identify opportunities to challenge and improve existing methodologies and work with others to deploy new analytical techniques that deliver new insights and tangible operational improvements
Support Underwriting teams in reviewing new, enhanced or alterations to the product covers and recommending appropriate pricing changes.
Work with internal and external IT developers, Test teams and project managers to support delivery and implementation of pricing structures and rates.
Create complex, robust statistical models, including machine learning models and interpret the results to deliver high impact, innovative pricing
These responsibilities will vary, depending on your level and role.

The successful Pricing Analysts will have the following:

More senior roles require a 2.1 or above in a Mathematical/Statistical/Science/Engineering degree
Extensive knowledge of Excel and good knowledge of SAS/SQL would be advantageous
Experience with Radar/Emblem/Datarobot and R/Python are all desirable however not essential
Experience of machine learning techniques e.g., GBMs, Elastic Net Regression or Random Forests in Python or R would be highly advantageous.
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
High degree of numeracy with good statistical skills to analyse trends and understand modelling techniques
Understanding of Pricing and Underwriting principles and key performance indicators
Good working knowledge of the personal lines market and how to manage account performance through the underwriting cycle
Good communication skills, both written and verbal, with the ability to explain technical data to non-technical audience

To be considered for this opportunity please click on the Apply Now Button.

Salary: £40,000 - £84,000pa

Hours Per Week: Permanent (Full-Time, Part-Time, Job-Share, Flexible options available)