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For Companies At a Glance
- Tasks: Lead pricing projects, analyse data, and influence company growth.
- Company: Join Ageas, a top insurance provider known for innovation and exceptional service.
- Benefits: Enjoy flexible working, competitive salary, health programs, and generous holidays.
- Why this job: Be part of a dynamic team impacting pricing strategies and company success.
- Qualifications: Degree in a numerical field; experience in insurance pricing preferred.
- Other info: Diversity and inclusion are core values; all qualified applicants encouraged to apply.
The predicted salary is between 48000 - 72000 £ per year.
Job Title: Lead Pricing Analyst (Home)
Contract Type: Permanent (Full-Time, Part-Time, Job-Share, Flexible options available)
Salary Range: Circa £60,000
Location: Eastleigh/Bournemouth (Hybrid)
Ageas is a leading insurance provider committed to delivering exceptional service and innovative solutions. We are seeking a talented Lead Pricing Analyst to join our dynamic Pricing team, based in Eastleigh/Bournemouth/London.
The Lead Pricing Analyst will manage pricing projects, analyze data using sophisticated actuarial and statistical techniques, and influence the company\’s growth and profitability. Responsibilities include building pricing models, developing datasets, and advising senior management. The role involves a mix of home and office work.
Main responsibilities include:
- Managing and coaching Pricing Analysts and Senior Analysts.
- Developing, validating, and reviewing predictive and machine learning models.
- Creating and maintaining datasets for modeling, pricing, and monitoring.
- Supporting the deployment of pricing models.
- Conducting pricing analyses and preparing recommendations for senior stakeholders.
- Managing rate releases and rate environment reviews.
- Monitoring pricing performance and aligning with company targets.
- Coordinating pricing decisions across teams and decision bodies.
- Managing the price control cycle and strategic pricing initiatives.
- Using competitor analysis to optimize pricing strategies.
- Influencing senior management and deputizing for managers as needed.
Candidate requirements:
- Degree in a numerical discipline.
- Experience in insurance pricing, preferably in Home insurance.
- Proficiency in programming languages like SAS, R, Python, or Matlab.
- Experience with predictive modeling techniques and tools such as Emblem and Radar.
- Strong analytical, coaching, and communication skills.
- Ability to convey complex statistical concepts to non-technical stakeholders.
- Self-motivated with good organizational skills.
Benefits include:
- Flexible working arrangements and hybrid work model.
- Competitive salary and bonus schemes.
- Health and wellbeing programs.
- Generous holiday entitlement and family support policies.
- Additional benefits like pension, employee savings, and tech discounts.
Ageas is committed to diversity and inclusion. We encourage applications from all qualified individuals and guarantee an interview for applicants with disabilities who meet the minimum criteria.
To apply, click the ‘Apply’ button and submit your application for the Lead Pricing Analyst role in Eastleigh/Bournemouth/London.
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Lead Pricing Analyst employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Pricing Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in insurance pricing, especially in home insurance. Understanding current market dynamics and competitor strategies will help you speak confidently about how you can contribute to Ageas's pricing initiatives.
✨Tip Number 2
Brush up on your programming skills, particularly in SAS, R, Python, or Matlab. Being able to demonstrate your proficiency in these languages during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with predictive modelling techniques and tools like Emblem and Radar. Be ready to share specific examples of how you've used these tools to drive pricing decisions in previous roles.
✨Tip Number 4
Highlight your coaching and communication skills, as managing and mentoring analysts is a key part of the role. Think of instances where you've successfully conveyed complex concepts to non-technical stakeholders, as this will resonate well with the hiring team.
We think you need these skills to ace Lead Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in insurance pricing, particularly in Home insurance. Emphasise your proficiency in programming languages like SAS, R, Python, or Matlab, and any experience with predictive modelling techniques.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical skills and ability to convey complex statistical concepts to non-technical stakeholders. Mention specific projects where you've managed pricing models or influenced senior management decisions.
Highlight Leadership Experience: Since the role involves managing and coaching Pricing Analysts, be sure to include any leadership or mentoring experience you have. Discuss how you've developed teams or supported colleagues in their professional growth.
Showcase Your Analytical Skills: Provide examples of how you've used data analysis to drive business decisions. Mention any specific tools or methodologies you've employed, such as Emblem and Radar, to validate and review predictive models.
How to prepare for a job interview at Ageas
✨Showcase Your Analytical Skills
As a Lead Pricing Analyst, you'll need to demonstrate your strong analytical abilities. Be prepared to discuss specific examples of how you've used data analysis and statistical techniques in previous roles, especially in insurance pricing.
✨Familiarise Yourself with Predictive Modelling Tools
Since the role involves developing predictive models, make sure you are well-versed in tools like Emblem and Radar. You might be asked about your experience with these tools, so having concrete examples ready will help you stand out.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about how you would approach pricing challenges or rate releases, and be ready to explain your thought process clearly.
✨Communicate Complex Concepts Simply
You'll need to convey complex statistical concepts to non-technical stakeholders. Practice explaining your work in simple terms, as this will showcase your communication skills and ability to influence senior management effectively.
