Lead Insurance Pricing Analyst

<p>📍London (UK) | 💰 £85,000-£130,000 + benefits&nbsp;</p> <h1>About the Insurance Team:</h1> <p>We’re building insurance that actually works for people – no jargon, no faff, no feeling like you’re being caught out.</p> <p>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.&nbsp;</p> <p>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.</p> <h1>About the Role:</h1> <p>We’re looking for a Pricing Analyst to own and continuously improve the performance of Monzo’s insurance pricing.</p> <p>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.</p> <p>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).&nbsp;</p> <h1>🔑 You’ll play a key role by…</h1> <ul> <li>Owning day-to-day pricing performance - understanding where we sit in the market and why</li> <li>Analysing pricing, conversion, claims and loss ratio data to identify opportunities to improve growth and profitability</li> <li>Running and supporting pricing experiments (e.g. segment-level changes, elasticity testing) including on PCWs</li> <li>Refining pricing segments, rating factors and tiering to improve decision quality</li> <li>Working with our insurer to evaluate pricing proposals, assumptions and trade-offs</li> <li>Building a clear view of price competitiveness, especially on PCWs, and recommending actions to improve rank and conversion</li> <li>Working with Data Science to deepen analysis, while independently driving core pricing work</li> <li>Helping develop our internal pricing capability - including frameworks, datasets and ways of working</li> </ul> <h1>🤩 We’d love to hear from you if…</h1> <ul> <li>You have pricing experience in UK Home insurance or a similar general insurance product</li> <li>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</li> <li>You have sufficient underwriting knowledge to effectively challenge insurer proposals, pricing assumptions, and rating factors using data</li> <li>You have a solid grounding in SQL and experience with Data Analysis tools such as Python, Jupyter, Looker or similar</li> </ul> <p><strong>Nice to have (but not essential):</strong></p> <ul> <li>You’ve worked in a digital-first insurer, insurtech, or high-growth product-led environment</li> <li>You have experience with PCWs or other highly price-sensitive distribution channels</li> <li>Familiarity with underwriting concepts and insurer-led pricing discussions</li> </ul> <h1>What’s in it for you</h1> <p>💰 Salary is £85,000-138,000 depending on experience&nbsp;</p> <p>📍 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</p> <p>⏰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.&nbsp;</p> <p>💰 26 days holiday (plus bank holidays)</p> <p>🏥 Private medical insurance with WPA</p> <p>📚£1,000 learning budget each year to use on books, training courses and conferences.</p> <p>🏡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.&nbsp;</p> <p>➕ Plus lots more! Read our full list of benefits.<br><br>#LI-REMOTE #LI-NJ1</p>