At a Glance
- Tasks: Optimise pricing strategies and manage data for home insurance products.
- Company: Homeprotect, a leader in non-standard home insurance with a focus on innovation.
- Benefits: Flexible hybrid working, competitive salary, and a supportive team culture.
- Other info: Join a diverse team passionate about innovation and customer empowerment.
- Why this job: Make a real impact by empowering customers to protect their unique homes.
- Qualifications: 3-5 years of pricing experience and proficiency in Python and SQL.
The predicted salary is between 36000 - 60000 £ per year.
About Homeprotect
We founded Homeprotect on a simple principle – to provide protection to people underserved by the home insurance industry. We’re experts at insuring people who want to build or buy a unique property, renovate, rent a home or leave it unoccupied. We can cover people who travel a lot, run a business from home or even collect rare treasures. We protect people who love living in a listed building, having a view of a river or sunbathing on a flat roof.
We can do this because our smart tech enables our customers to get an instant, online quote to cover a huge range of complex needs and our UK customer support teams are on hand to provide information and support when only a real person will do. Our insurance has already empowered hundreds of thousands of people to protect their homes and the things they love. But we’re not content with being the leading provider of what’s called ‘non-standard’ insurance. We’re all unique and we all deserve home insurance designed with our individual needs in mind – something our combination of real people and smart tech enables us to do.
We’re a small but perfectly formed team, made up of insurance industry specialists alongside a diverse mix of technologists, data scientists and customer and marketing champions from all sorts of industries and backgrounds. We all bring our individual expertise, an appetite for innovation and a shared ambition to empower people to protect their homes and the things that they love. But we also recognise that you’ll do your best work when you have the right balance, and that’s why we have fully embraced hybrid working, and in some cases, fully remote working, giving our teams the flexibility to choose the right location and working hours for them.
You will help to optimise the performance of all New Business and Renewal home insurance products to maximise Customer Lifetime Value of every customer. You will use our in-house optimization tools to find the best balance between expected volume of sales and revenue.
The role involves deploying price changes, designing and running controlled price tests, mining millions of quotes to find incremental sales and revenue opportunities. A core part of the role is trading data management: keeping performance and modelling datasets clean and consistent, managing quote classifications, deduplication methodology and the logic behind business reports, as well as ensuring these definitions are clearly documented and circulated across the business.
You will monitor KPIs, produce audit ready reporting, forecast trends for price setting and finance planning, monitor model performance and feed insights back to the Optimisation team. You will work in a fast‑paced environment with frequent rate changes and rapid feedback loops, using our in‑house pricing/optimisation suite (not off‑the‑shelf tools) alongside SQL and Python for data access, processing and price setting.
You will collaborate closely with Technical Pricing, Data Science, Software Engineering, Marketing and other stakeholders, and help shape the long‑term retail pricing strategy.
- 3–5 years’ pricing experience with hands-on retail price optimisation in complex, competitive industries (e.g., General Insurance, Travel, Pharmaceuticals).
- Data Science, Mathematics, Physics, Engineering or equivalent professional experience.
- Proficient in Python for data processing, visualisation and statistical/modelling workflows.
- Strong SQL and advanced Excel for data manipulation, reporting and KPI dashboarding.
Senior Pricing Analyst Commercial in New Malden employer: Homeprotect
At Homeprotect, we pride ourselves on being an exceptional employer that champions innovation and flexibility. Our hybrid working model allows you to tailor your work environment to suit your lifestyle, while our collaborative culture fosters personal and professional growth. Join a diverse team of experts dedicated to empowering individuals with unique insurance solutions, and enjoy the benefits of working in a supportive atmosphere where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Pricing Analyst Commercial in New Malden
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and tech industries, especially those who work at Homeprotect. A friendly chat can open doors and give you insider info about the company culture and what they really value in candidates.
✨Tip Number 2
Show off your skills! Prepare to discuss your experience with pricing optimisation and data management in detail. Use real examples from your past roles to demonstrate how you've tackled challenges and contributed to business success.
✨Tip Number 3
Get familiar with Homeprotect's products and services. Understanding their unique approach to home insurance will help you tailor your conversations and show that you're genuinely interested in being part of their mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re keen on joining our team and ready to dive into the exciting world of non-standard insurance.
We think you need these skills to ace Senior Pricing Analyst Commercial in New Malden
Some tips for your application 🫡
Show Your Passion for Insurance:When you're writing your application, let your enthusiasm for the insurance industry shine through. We want to see that you understand our mission at Homeprotect and how your skills can help us empower people to protect their homes.
Highlight Relevant Experience:Make sure to showcase your 3-5 years of pricing experience clearly. Use specific examples from your past roles that demonstrate your hands-on experience with retail price optimisation in complex industries. This will help us see how you fit into our team.
Be Data Savvy:Since this role involves a lot of data management, don’t forget to mention your proficiency in Python, SQL, and Excel. Share any projects or tasks where you've used these tools to drive insights or optimise pricing strategies.
Tailor Your Application:Take the time to tailor your application to the job description. Use keywords from the listing and make connections between your experience and what we’re looking for. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Homeprotect
✨Know Your Numbers
As a Senior Pricing Analyst, you'll need to demonstrate your understanding of pricing strategies and data analysis. Brush up on key metrics and KPIs relevant to the insurance industry, and be ready to discuss how you've used data to drive pricing decisions in your previous roles.
✨Showcase Your Technical Skills
Make sure you highlight your proficiency in Python and SQL during the interview. Prepare examples of how you've used these tools for data processing and visualisation. If possible, bring along a portfolio or examples of your work that showcase your technical expertise.
✨Understand Homeprotect's Unique Value
Familiarise yourself with Homeprotect's mission and the unique aspects of their insurance offerings. Be prepared to discuss how you can contribute to optimising their pricing strategy while keeping customer needs at the forefront. This shows you're not just interested in the role, but also in the company's vision.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in a fast-paced environment. Think about past experiences where you've had to adapt quickly to changes in pricing or market conditions, and be ready to explain your thought process and outcomes.
