At a Glance
- Tasks: Shape pricing models and provide insights to senior management in a dynamic team.
- Company: Join John Lewis Financial Services, a leader in retail innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Exciting role with a focus on compliance and innovative modelling techniques.
- Why this job: Make an impact by leveraging data to drive pricing strategies.
- Qualifications: Numerate degree or apprenticeship with experience in insurance pricing and SQL.
The predicted salary is between 42500 - 64000 £ per year.
Join the newly established pricing team within John Lewis Financial Services. As a Pricing Analyst you will shape pricing and reporting models from the ground up and provide key insights to senior management.
Key Responsibilities
- Provide pricing options with recommendations, leveraging proprietary retail data to generate insights.
- Deliver behavioural, demand and market premium models in Earnix, ensuring regulatory compliance and continuous value to customers and the business.
- Maintain and enhance Earnix LTV models with robust assumptions to provide reliable lifetime value insights.
- Monitor the effectiveness of pricing strategies, track KPIs, and prepare detailed reports and presentations for senior management and stakeholders.
- Support the specification and implementation of monitoring and controls to maintain compliance.
- Ensure adherence to John Lewis policies and relevant legal and regulatory guidelines.
Essential Skills and Experience
- Numerate degree or apprenticeship in Mathematics, Statistics, Actuarial Science or a related field.
- Minimum 1 year experience in motor or home insurance pricing.
- Expertise in SQL.
- Strong knowledge of general insurance principles, products and practices.
- Experience building predictive models for general insurance.
- Familiarity with regulations, particularly GIPP and Consumer Duty.
- Proven business judgement and ability to solve complex issues with pragmatic solutions.
Desirable Skills
- Knowledge of retail pricing data and modelling techniques.
- Experience with modelling tools such as Emblem, Earnix, R and Python.
Salary & Working Hours
£42,500 – £64,000 per annum, based on experience. Work schedule: 9 am – 5 pm, Monday to Friday. Hybrid working model – one day per week in the office.
Location
London Central Office, 1 Drummond Gate, London, SW1V 2QQ.
Closing Date
Applications accepted until 8 June 2026.
Pricing Analyst employer: John Lewis plc
At John Lewis Financial Services, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a real impact. As a Pricing Analyst in our London Central Office, you will not only have the opportunity to shape pricing strategies from the ground up but also benefit from a hybrid working model that promotes work-life balance. With competitive salaries, continuous professional development, and a commitment to compliance and ethical practices, we are dedicated to supporting your growth and success in a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at John Lewis. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to pricing analysis. We recommend using real-life examples from your experience to showcase your skills and how they align with the role.
✨Tip Number 3
Showcase your analytical skills! Bring along a portfolio of your previous work or projects that demonstrate your expertise in SQL and predictive modelling. This will help you stand out during discussions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Pricing Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Pricing Analyst role. Highlight your experience in motor or home insurance pricing and any relevant skills like SQL or predictive modelling. We want to see how your background fits 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 and how you can contribute to our team. Be sure to mention any specific experiences that relate to the key responsibilities outlined in the job description.
Showcase Your Analytical Skills:As a Pricing Analyst, analytical skills are crucial. In your application, provide examples of how you've used data to drive decisions or improve processes. We love seeing real-world applications of your skills!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at John Lewis plc
✨Know Your Numbers
As a Pricing Analyst, you'll be dealing with data all the time. Brush up on your numerical skills and be ready to discuss how you've used data in past roles. Prepare examples of how you've built predictive models or analysed pricing strategies.
✨Master SQL and Modelling Tools
Since expertise in SQL is essential, make sure you can confidently talk about your experience with it. If you've worked with modelling tools like Earnix or Emblem, be prepared to share specific projects where you applied these skills.
✨Understand Regulatory Compliance
Familiarity with regulations like GIPP and Consumer Duty is crucial. Research these regulations and think about how they impact pricing strategies. Be ready to discuss how you ensure compliance in your work.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think of complex issues you've faced in previous roles and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
