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For Companies At a Glance
- Tasks: Join a small team to develop and validate pricing models using machine learning.
- Company: Exciting and growing insurance business with a strong collaborative culture.
- Benefits: Enjoy a £50,000 salary, hybrid work model, 25 days holiday, and a bonus scheme.
- Why this job: Make a real impact in a dynamic environment focused on collaboration and development.
- Qualifications: Experience in technical pricing modelling and knowledge of programming software like SAS or Python.
- Other info: Ideal for those eager to take ownership and drive innovative pricing strategies.
The predicted salary is between 30000 - 70000 £ per year.
This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be able to work across a range of pricing analytics projects, within a small team to really take ownership of your work.
THE COMPANY
Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. They have a really strong working environment that’s focused on collaboration and development.
THE ROLE
- Develop and validate retail and technical pricing models using machine learning methods
- Develop and implement pricing strategies for customer renewals with a focus on profitability and customer retention
- Conduct in-depth analysis of the customer book, looking at areas including churn risk, loss ratios, retention rates
- Conduct market research and competitive analysis to identify opportunities and gaps for new product development
YOUR SKILLS AND EXPERIENCE:
- Prior experience with technical pricing modelling or wider pricing strategy experience
- Experience using Earnix, Emblem or Radar
- Good knowledge of programming software such as SAS, SQL, Python or R would also be desirable
- Strong communication skills and desire to ‘hit the ground running’
SALARY AND BENEFITS
- Up to £50,000 base salary
- Discretionary bonus scheme
- Contributory pension scheme
- Hybrid work model
- 25 days holiday
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Pricing Analyst
✨Tip Number 1
Familiarise yourself with the specific pricing software mentioned in the job description, such as Earnix, Emblem, or Radar. Having hands-on experience or even completing online tutorials can give you a significant edge during interviews.
✨Tip Number 2
Brush up on your programming skills, particularly in SAS, SQL, Python, or R. Being able to demonstrate your technical proficiency in these areas will show that you're ready to hit the ground running and contribute effectively from day one.
✨Tip Number 3
Prepare to discuss your previous experience with pricing models and strategies. Think of specific examples where you've successfully implemented pricing strategies or conducted analyses that led to improved profitability or customer retention.
✨Tip Number 4
Research the insurance market and be ready to talk about current trends, challenges, and opportunities. This knowledge will not only help you in interviews but also demonstrate your genuine interest in the role and the company.
We think you need these skills to ace Technical Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in technical pricing modelling and any specific software knowledge, such as Earnix, Emblem, or Radar. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the insurance industry and your analytical skills. Mention specific projects or experiences where you've successfully developed pricing strategies or conducted market research.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages like SAS, SQL, Python, or R. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Highlight Soft Skills: Don't forget to mention your strong communication skills and ability to work collaboratively within a team. These are crucial for the role, so provide examples of how you've effectively communicated complex data insights in past positions.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Make sure to highlight your experience with technical pricing models and any relevant software like Earnix, Emblem, or Radar. Be prepared to discuss specific projects where you've successfully implemented these tools.
✨Demonstrate Analytical Thinking
Since the role involves in-depth analysis of customer data, be ready to share examples of how you've conducted market research or competitive analysis in the past. This will show your ability to identify opportunities and gaps effectively.
✨Communicate Clearly
Strong communication skills are essential for this position. Practice explaining complex concepts in a simple way, as you may need to present your findings to team members who aren't as technically inclined.
✨Express Your Enthusiasm for Collaboration
The company values a collaborative working environment, so convey your eagerness to work within a team. Share experiences where teamwork led to successful outcomes in your previous roles.
