At a Glance
- Tasks: Analyse data and develop innovative pricing strategies in the insurance sector.
- Company: Join a leading insurance group with a focus on growth and innovation.
- Benefits: Flexible working options, competitive salary, and opportunities for professional development.
- Why this job: Make a real impact on pricing strategies and drive business success.
- Qualifications: Degree in a numerical field and experience in insurance pricing or analytics.
- Other info: Collaborative environment with opportunities to mentor and grow talent.
The predicted salary is between 40000 - 50000 ÂŁ per year.
We are looking for an experienced Senior Pricing Analyst who understands what makes retail pricing and commercial success work in Personal Lines insurance. You’ll be using sophisticated statistical techniques to introduce innovative approaches to create value. You will also work closely with Pricing Managers to develop and implement complex solutions that improve pricing capabilities and help shape the strategic direction of the market pricing team and the wider Ageas UK Group.
Main Responsibilities
- Analyse, interpret, and monitor business data to identify market trends, product opportunities, and key rating factors, using advanced analytics and machine learning techniques to deliver actionable insights.
- Translate advanced modelling and market insight into commercially impactful pricing recommendations, providing thought leadership to drive business performance.
- Develop, validate, maintain, and deploy predictive and machine learning pricing models into rating systems (e.g. Radar), ensuring high quality datasets for modelling, pricing, and monitoring.
- Review live rates, coordinate pricing decisions across teams, monitor the impact of pricing changes post implementation, and ensure compliance with pricing fairness and data usage policies.
- Provide subject matter expertise on strategic initiatives, represent pricing in senior forums as required, and manage, develop, and coach Pricing Analysts to support capability and talent growth.
Skills and Experience
- Degree-level education in a numerical discipline with solid statistical and analytical foundations, plus experience in insurance pricing or a related analytics field.
- In-depth knowledge of General Insurance pricing methodologies, regulatory requirements, and the application of analytics to solve complex business problems.
- Hands-on experience with core techniques such as GLMs, predictive modelling, and price optimisation, with exposure to advanced methods (e.g. GBMs, GAMs, neural networks, SVMs).
- Skilled in analytical programming languages (e.g. SAS, R, Python, SQL) and familiar with pricing and modelling tools such as Emblem, Radar, or similar platforms.
- Proven ability to coach junior staff, influence senior stakeholders, communicate complex insights clearly to non-technical audiences, and work proactively with strong organisational and problem solving skills.
To find out more about this role and for information please contact Zoe Powell OR Cathy Kong. Alternatively, click on the “Apply Button” to be considered.
Senior Pricing Analyst employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Ageas UK Group. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for the interview by brushing up on your analytical skills. Be ready to discuss how you've used advanced analytics and machine learning techniques in past roles. We want to see your thought process!
✨Tip Number 3
Showcase your problem-solving skills! Think of examples where you've tackled complex pricing issues or developed innovative solutions. This is your chance to shine and demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining our team at Ageas UK Group.
We think you need these skills to ace Senior Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Pricing Analyst role. Highlight your experience in insurance pricing and any relevant statistical techniques you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing analytics and how you can contribute to our team. Be sure to mention any specific projects or achievements that showcase your expertise.
Showcase Your Analytical Skills: Since this role involves advanced analytics, make sure to highlight your experience with tools like R, Python, or SQL. We love seeing examples of how you've used these skills to drive business performance in previous roles.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we can't wait to see what you bring to the table!
How to prepare for a job interview at Ageas
✨Know Your Numbers
As a Senior Pricing Analyst, you'll need to demonstrate your understanding of statistical techniques and pricing methodologies. Brush up on your knowledge of GLMs, predictive modelling, and any relevant machine learning methods. Be ready to discuss how you've applied these in past roles.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've used data analysis to drive business decisions. Think about times when your insights led to successful pricing strategies or improved market performance. This will show your potential employer that you can translate complex data into actionable recommendations.
✨Familiarise Yourself with Tools
Make sure you're comfortable discussing the analytical programming languages and tools mentioned in the job description, like SAS, R, Python, and SQL. If you've worked with pricing tools like Radar or Emblem, be prepared to explain your experience and how it can benefit their team.
✨Communicate Clearly
You'll need to convey complex insights to non-technical audiences, so practice explaining your work in simple terms. Think about how you can break down your past projects and findings into digestible pieces that highlight your thought leadership and ability to influence stakeholders.