At a Glance
- Tasks: Own and optimise insurance pricing, driving growth through data analysis and strategic decisions.
- Company: Join a forward-thinking insurance team focused on real-life needs and exceptional customer experiences.
- Benefits: Competitive salary, flexible working hours, 25 days holiday, and a £1,000 learning budget.
- Other info: Hybrid working model with excellent career development opportunities.
- Why this job: Make a real impact in a dynamic role that shapes the future of insurance pricing.
- Qualifications: Experience in UK Home insurance pricing, strong analytical skills, and proficiency in SQL.
The predicted salary is between 80000 - 95000 € per year.
📍London (UK) | 💰 £80-95,000 + benefits
About the Insurance Team: We’re building insurance that actually works for people – no jargon, no faff, no feeling like you’re being caught out. Our mission is to offer simple, reliable and delightful insurance products that meet real-life needs, backed by great underwriting and claims partners to power seamless internal operations and exceptional customer experiences. We’re scaling our first product line, Home insurance, with plans to expand into additional insurance categories over the coming years. We're a focused team with ambitious growth targets and a chance to build something special from the ground up.
About the Role: We’re looking for a Pricing Analyst to own and continuously improve the performance of Monzo’s insurance pricing. This role sits at the intersection of data, pricing, and growth. You’ll be responsible for understanding how our prices perform in market, why, and what we should do about it - from day-to-day optimisation through to longer-term pricing strategy. You’ll work closely with our insurance partner, data scientists, and product teams to turn pricing and risk data into clear, actionable decisions that drive growth. This is a highly hands-on role with direct impact on conversion, competitiveness, and profitability - particularly as we scale our distribution channels, including on price comparison websites (PCWs).
🔑 You’ll play a key role by…
- Owning day-to-day pricing performance - understanding where we sit in the market and why
- Analysing pricing, conversion, claims and loss ratio data to identify opportunities to improve growth and profitability
- Running and supporting pricing experiments (e.g. segment-level changes, elasticity testing) including on PCWs
- Refining pricing segments, rating factors and tiering to improve decision quality
- Working with our insurer to evaluate pricing proposals, assumptions and trade-offs
- Building a clear view of price competitiveness, especially on PCWs, and recommending actions to improve rank and conversion
- Working with Data Science to deepen analysis, while independently driving core pricing work
- Helping develop our internal pricing capability - including frameworks, datasets and ways of working
🤩 We’d love to hear from you if…
- You have pricing experience in UK Home insurance or a similar general insurance product
- You are highly analytical and hands-on with data, comfortable running pricing experiments (e.g., elasticity testing), and using conversion, loss ratio, and risk data to drive actionable decisions
- You have sufficient underwriting knowledge to effectively challenge insurer proposals, pricing assumptions, and rating factors using data
- You have a solid grounding in SQL and experience with Data Analysis tools such as Python, Jupyter, Looker or similar
Nice to have (but not essential):
- You’ve worked in a digital-first insurer, insurtech, or high-growth product-led environment
- You have experience with PCWs or other highly price-sensitive distribution channels
- Familiarity with underwriting concepts and insurer-led pricing discussions
What’s in it for you 💰 Salary is £ 80-95,000 depending on experience
📍 This role will be based out of our London office next to Liverpool Street station - in a hybrid way of working between the office and home
⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
💰 25 days holiday (plus bank holidays)
🏥 Private medical insurance with WPA
📚£1,000 learning budget each year to use on books, training courses and conferences.
🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.
➕ Plus lots more! Read our full list of benefits.
Insurance Pricing Analyst in London employer: Referrals Only
At Monzo, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an Insurance Pricing Analyst in our London office, you'll enjoy a competitive salary, flexible working hours, and a generous learning budget to support your professional growth. Join us in building insurance products that truly serve people's needs while benefiting from our commitment to employee well-being and a supportive hybrid work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Insurance Pricing Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the insurance industry, especially those working in pricing roles. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s products and pricing strategies. Familiarise yourself with their competitors and market trends. This will not only help you answer questions confidently but also show your genuine interest in the role and the company.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a thank-you email expressing your appreciation for the opportunity. It’s a great way to reinforce your enthusiasm for the role and keep you fresh in their minds.
✨Tip Number 4
Apply through our website! We’re always looking for passionate individuals who want to make a difference in the insurance space. By applying directly, you’ll ensure your application gets the attention it deserves and you’ll be one step closer to joining our amazing team.
We think you need these skills to ace Insurance Pricing Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Insurance Pricing Analyst. Highlight your relevant experience in pricing, data analysis, and any specific tools you've used like SQL or Python. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about insurance and how you can contribute to our team. Be sure to mention any hands-on experience with pricing experiments or working with data that drives decisions.
Showcase Your Analytical Skills:Since this role is all about data, make sure to highlight your analytical prowess. Share examples of how you've used data to improve pricing strategies or drive growth in previous roles. We love seeing numbers and results!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Referrals Only
✨Know Your Numbers
As an Insurance Pricing Analyst, you'll need to be comfortable with data. Brush up on key metrics like conversion rates, loss ratios, and pricing elasticity. Be ready to discuss how you've used these metrics in past roles to drive decisions and improvements.
✨Understand the Market
Familiarise yourself with the current UK home insurance market. Know who the key players are, what their pricing strategies look like, and how they position themselves against competitors. This will show that you’re not just a numbers person but also understand the broader context.
✨Prepare for Practical Scenarios
Expect to tackle real-world scenarios during your interview. Prepare to discuss how you would approach pricing experiments or optimise pricing segments. Think through your thought process and be ready to articulate it clearly.
✨Show Your Analytical Skills
Highlight your experience with SQL and data analysis tools like Python or Looker. Be prepared to share specific examples of how you've used these skills to analyse data and make actionable recommendations. This is crucial for demonstrating your hands-on approach.
