At a Glance
- Tasks: Join our Strategic Pricing Team to analyse data and influence pricing strategies.
- Company: Ageas is a leading car and home insurer in the UK, known for innovation and inclusivity.
- Benefits: Enjoy flexible working, 35+ days holiday, and health/wellness programmes.
- Why this job: Make a real impact on business growth while working in a creative and supportive environment.
- Qualifications: A quantitative degree and experience in data analysis and predictive modelling are essential.
- Other info: We value diversity and encourage all applicants, including those with disabilities.
The predicted salary is between 29800 - 43600 £ per year.
Ageas have an exciting opportunity for a Senior Pricing Analyst to join the Strategic Pricing Team. Ageas is in the process of delivering wholesale improvement to its pricing sophistication, performance management capability and technical excellence, in order to successfully compete in the home insurance market and as such you will be at the forefront in delivering this strategy. You will support the monitoring of performance and contribute to the profitable development of Ageas’ Household portfolio, through control of pricing. The Senior Pricing Analyst will provide detailed analysis of data using sophisticated actuarial and statistical techniques that inform pricing actions to increase volume, income and profit. The resulting pricing actions will have a direct and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention and achieve target loss ratios.
Responsibilities:
- Develop, validate and review predictive models including machine learning models
- Run data for modelling, pricing and monitoring
- Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring
- Development and maintenance of pricing models and support for their deployment
- Carry out pricing analyses and prepare options for senior stakeholders
- 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
- 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 price control cycle as required
- Inform and influence peers in team and across Ageas
- Identify and monitor trends in the market which could affect the pricing and underwriting of our products
Competencies:
- A good quantitative degree, e.g. in Statistics, Mathematics or Actuarial Science
- Experience in a relevant role in a data-driven environment
- Knowledge of insurance products and distributions (direct, intermediary, aggregators)
- Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis
- Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software
- 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)
- Experience of using Emblem and Radar
- Highly numerate with excellent attention to detail
- Ability to prioritise and re-prioritise tasks to meet business requirements
Performance Measures:
- Delivery of high quality pricing projects from start to end with minimal management input
- Proficiency in data, modelling, pricing and reporting tasks
- Speedy delivery and accuracy of data, models, pricing rates and reports
- Ensure work is reliable and free of errors
- Ensure model accuracy and robustness meet the business need for stability and sustainability
- Creativity and innovation: Quantity and quality of new developments - develop new analytical solutions using industry best practice and taking account of critical business requirements
- Teamwork: Build strong working relationships with colleagues across the business
Benefits:
At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve Top Employer status in the UK. We offer flexible working arrangements, a minimum of 35 days holiday (including bank holidays), and various health and wellness programs.
About Ageas:
We’re 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, which is echoed in the service we provide to over four million customers. As an inclusive employer, we encourage anyone to apply. We’re a signatory of the Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we are committed to ensuring our recruitment processes are fully inclusive.
Want to be part of a Winning Team? Come and join Ageas. Click on the ‘Apply button’ to be considered for the Senior and Lead Vacancies based in our UK Offices.
Senior Pricing Analyst - Strategic employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analyst - Strategic
✨Tip Number 1
Familiarise yourself with the latest trends in pricing strategies within the insurance sector. Understanding how companies like Ageas are innovating in their pricing models will give you a competitive edge during discussions.
✨Tip Number 2
Brush up on your programming skills, especially in languages like R or Python. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the insurance and data analysis fields. Engaging with others who work at Ageas or similar companies can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss specific examples of how you've used predictive modelling techniques in past roles. Being able to articulate your experience with models like Logistic Regression or Decision Trees will showcase your expertise.
We think you need these skills to ace Senior Pricing Analyst - Strategic
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Pricing Analyst role. Focus on your quantitative degree, data analysis experience, and any specific programming languages or statistical techniques mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for pricing analysis and your understanding of the insurance market. Mention how your previous experiences have prepared you to contribute to Ageas' strategic goals and how you can help improve their pricing sophistication.
Highlight Relevant Projects: If you've worked on projects involving predictive modelling or data analysis, be sure to include these in your application. Describe your role, the techniques you used, and the outcomes achieved to demonstrate your capability in delivering high-quality pricing projects.
Showcase Your Analytical Skills: In your application, emphasise your ability to analyse data and extract insights. Provide examples of how you've used statistical methods to inform decision-making and how this has positively impacted previous employers or projects.
How to prepare for a job interview at Ageas
✨Showcase Your Analytical Skills
As a Senior Pricing Analyst, you'll need to demonstrate your ability to analyse data effectively. Be prepared to discuss specific examples of how you've used statistical techniques or predictive modelling in previous roles to drive pricing decisions.
✨Understand the Insurance Market
Familiarise yourself with the home insurance market and the specific products offered by Ageas. Showing that you understand current trends and challenges in the industry will help you stand out as a knowledgeable candidate.
✨Prepare for Technical Questions
Expect questions related to programming languages and statistical packages mentioned in the job description. Brush up on your knowledge of SAS, R, or Python, and be ready to explain how you've applied these tools in your work.
✨Demonstrate Team Collaboration
Ageas values teamwork, so be ready to share examples of how you've successfully collaborated with colleagues across different departments. Highlight any experiences where your contributions led to improved outcomes or innovative solutions.