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Job description
📌Lead Portfolio Analyst (Motor Insurance / InsurTech)
📌London or Hampshire (2 days a week in-office)
📌Up to £100k + 10% bonus (est. £105k–£110k total comp)
Who are they?
A well-backed InsurTech leading the UK short-term motor insurance market, we’re talking one hour to one month cover, at serious volume. They have the infrastructure of a larger group behind them but still feel like a start-up in the best sense, small team, real ownership, people who care about doing good work.
The culture is collaborative but autonomous. They hire people who bring their own rigour and urgency, who work well with others and don’t need much hand-holding to get going. If that sounds like your kind of environment, keep reading.
What’s the role?
You’ll be building and refining the logic that determines which risks they take on, at what price, and why, using real data, in near real time. Around 70% of your time is heads-down individual contribution and 30% is leading projects and developing junior analysts.
On any given week you might be:
- Developing underwriting strategies to grow the portfolio profitably
- Building fraud detection models and identifying new signals at point of quote
- Exploring non-traditional data sources to sharpen how they assess risk
- Keeping a close eye on the KPIs, spotting something moving in the wrong direction early, and working out what to do about it
- Working with Engineering and Product to get your models into production so they’re actually being used, on live policies, every day
- Helping junior analysts develop their thinking and their technical skills
It’s a role where your analysis doesn’t stop at a PowerPoint. It ends up in the product, shaping real underwriting decisions.
Who are they looking for?
Someone with solid underwriting and data experience, ideally in motor, who knows what a profitable underwriting strategy looks like and has built one. Beyond the technical skills, they want someone who can take complex findings and explain them clearly to people who aren’t data specialists. That’s genuinely as important as anything else here.
On the technical side:
- Strong Python or R skills, with growing use of AI for analytics
- Expert-level SQL, comfortable querying large datasets quickly
- Confident with BI tools like PowerBI or Tableau
- Familiarity with cloud data warehouses such as BigQuery or Azure
- Fraud analytics experience, or a strong ability to think through it from first principles
- Data enrichment evaluation experience is a plus, though fresh thinking on novel approaches matters just as much
On the softer side:
- Can explain complex analysis clearly to non-technical stakeholders
- Works well across teams and pushes decisions forward without needing a lot of direction
- Brings their own rigour and urgency to the work
- Lead-level mindset, not someone waiting to be told what to build
And the good stuff!
🎯 10% discretionary bonus + annual pay reviews
🌍 Up to 22 “work from anywhere” days per year
🏥 Private medical cover + critical illness insurance
💰 Employer pension matching up to 7.5%
🏖️ 25 days holiday, rising to 30 with tenure, plus 2 “my time” days
🏠 £300 one-off WFH setup budget
⚡ EV scheme + cycle to work
👶 Market-leading parental leave across all types
📚 Dedicated learning and training budget
You don’t need to tick every single box. If this sounds like your kind of place and your background is in the right ballpark, we’d love to hear from you.
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