Lead Insurance Pricing Analyst

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

Benefits

Additional Information

📍London (UK) | 💰 £85,000-£130,000 + 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.

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