📍London (UK) | 💰 £85,000-£138,000 + Incentive Awards tied to your performance + 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 Lead Insurance Pricing Analyst to help us better understand and 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 where changes may be needed - from day-to-day optimisation through to longer-term pricing strategy.

This role will help Monzo bring stronger customer, conversion and market insight into pricing discussions, so we can better understand where we should be competitive, which customer segments we want to grow, and how pricing changes could support both growth and loss performance - while working in partnership with our insurer, who owns the pricing decisions and risk selection.

You’ll work closely with our insurance partner, data scientists, and product teams to turn pricing, risk and loss data into clear, actionable recommendations - particularly as we scale our distribution channels, including on price comparison websites (PCWs).

🔑 You’ll play a key role by…

• Building and maintaining a clear view of 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 opportunities, assumptions and trade-offs, bringing the Monzo customer, conversion and market insight lens
• 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 experience in insurance pricing, risk modelling, or data science - ideally UK Home or another personal lines 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 enough underwriting and pricing knowledge to assess pricing assumptions, rating factors and trade-offs 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 £85,000 - £138,000 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.

💰 26 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.

#LI-REMOTE #LI-NJ1