Lead Insurance Pricing Analyst at Monzo - Remote UK

This role is listed as hybrid, based out of Monzo's London office near Liverpool Street station, with some flexibility to work from home. The posting also carries a #LI-REMOTE tag, suggesting fully remote arrangements may be considered for exceptional candidates — though the default expectation is office attendance in London.

For digital nomads, this role presents limited location freedom in its standard form. That said, Monzo explicitly mentions flexible working hours and trust-based scheduling, which signals some async-friendliness for heads-down analysis work. Regular collaboration with insurance partners and internal data science teams likely requires reasonable UK timezone alignment (GMT/BST).

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers!

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.

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.

You 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 will 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 will 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:

• Hybrid working from our London office near Liverpool Street station
• Flexible working hours — we trust you to work enough hours to do your job well, at times that suit you and your team
• Private medical insurance with WPA
• £1,000 learning budget each year for books, training courses and conferences
• Macbook provided; extra work‑from‑home setup support for fully remote workers
• Plus lots more! Read our full list of benefits.

Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.

We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.