Lead Portfolio Analyst | Underwriting Analytics | Insurance / InsurTech | Up to £100k + bonus

📌 Lead Portfolio Analyst | Insurance / InsurTech | Up to £100k + bonus

📌 London or Hampshire (2 days a week in-office)

📌 £80k - £100k + 10% bonus

Who are they?

A well-backed InsurTech leading the UK short-term motor insurance market, one hour to one month cover, at serious volume. They feel like a start-up in the best sense, small team, real ownership, people who care about doing good work. Collaborative but autonomous, they hire people who take ownership and get things done.

What's the role?

You'll sit in the underwriting team, working closely with the underwriting manager and Chief Underwriting Officer, building and refining the analytical logic that helps their panel of underwriters make better decisions on coverage, rates, and portfolio footprint. Around 70% heads-down individual contribution, 30% leading projects and developing junior analysts.

On any given week you might be:

• Analysing portfolio performance and identifying where coverage, rates or footprint need adjusting
• Building fraud detection models and identifying new risk signals at point of quote
• Working with the panel of underwriters to improve how they assess and select risk
• Exploring non-traditional data sources to sharpen underwriting decisions
• Getting models into production so they're shaping live underwriting decisions every day
• Helping junior analysts develop their thinking and technical skills

It's a role where your work ends up in the product, driving real underwriting decisions on live policies every day.

Who are they looking for?

Someone who has worked in an underwriting or portfolio analytics function and understands how underwriting decisions actually get made. This isn't a pricing role, it's about working with underwriters on coverage, footprint and portfolio performance. Insurance background from any line of business is fine, what matters is that you've sat on the underwriting side and can hit the ground running.

• Strong Python or R for modelling and analytics
• Expert-level SQL, comfortable querying large datasets quickly
• Ideally fraud analytics experience, or someone who can think through it quickly from first principles
• Data enrichment experience, or someone who approaches new problems with fresh thinking
• BI tools such as PowerBI or Tableau
• Takes ownership, works well across teams, wants to lead not just contribute
• Cloud data warehouse experience (BigQuery, Azure or similar) is a nice to have but not essential

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

If this sounds like your kind of place, we'd love to hear from you.

💻 [email protected] / [email protected]