At a Glance
- Tasks: Lead analysis to shape underwriting decisions using real data and innovative strategies.
- Company: Dynamic InsurTech disrupting the motor insurance market with a start-up vibe.
- Benefits: Up to £100k salary, 10% bonus, remote work options, and generous holiday.
- Other info: Great career growth opportunities and a supportive team culture.
- Why this job: Make a real impact in a collaborative environment while developing your skills.
- Qualifications: Experience in underwriting and data analysis, strong Python or R skills.
The predicted salary is between 100000 - 110000 £ per year.
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.
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.
They are 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
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.
Lead Portfolio Analyst (Motor Insurance / InsurTech) - Up to £100k + bonus employer: Skillful
As a Lead Portfolio Analyst at this innovative InsurTech firm, you'll thrive in a dynamic environment that combines the agility of a start-up with the robust support of a larger organisation. With a collaborative culture that values autonomy and real ownership, you'll have the opportunity to make impactful decisions while enjoying generous benefits such as a competitive salary, substantial bonus potential, and extensive professional development resources. Located in London or Hampshire, this role offers a perfect blend of remote flexibility and in-office collaboration, making it an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Portfolio Analyst (Motor Insurance / InsurTech) - Up to £100k + bonus
✨Tip Number 1
Network like a pro! Reach out to people in the InsurTech space, especially those who work at companies similar to the one you're eyeing. A friendly chat can lead to insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving underwriting strategies or data analysis. When you get that interview, you’ll have concrete examples to discuss that highlight your expertise.
✨Tip Number 3
Be ready to talk numbers! Since this role is all about data and risk assessment, brush up on your analytical skills and be prepared to discuss how you've used data to drive decisions in previous roles.
✨Tip Number 4
Apply through our website! We want to see your application come through directly, so don’t hesitate. It shows initiative and gives us a chance to connect with you right away!
We think you need these skills to ace Lead Portfolio Analyst (Motor Insurance / InsurTech) - Up to £100k + bonus
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead Portfolio Analyst. Highlight your experience in motor insurance and any relevant data skills, like Python or SQL. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about InsurTech and how you can contribute to our team. Keep it concise but make sure to showcase your understanding of underwriting strategies and risk assessment.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Share specific examples of how you've used data to drive decisions or improve processes. We love seeing real-world applications of your analytical prowess!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Skillful
✨Know Your Numbers
Make sure you brush up on your data analysis skills, especially in Python or R. Be ready to discuss how you've used these tools to develop underwriting strategies or fraud detection models in the past. Real examples will show you know your stuff!
✨Speak Their Language
Since you'll be explaining complex findings to non-technical stakeholders, practice simplifying your analysis. Think about how you can break down your previous projects into clear, relatable terms that anyone can understand. This will demonstrate your communication skills.
✨Show Your Leadership Skills
Even if you're not in a formal leadership role yet, think of times when you've led projects or mentored others. Be prepared to share these experiences and how you helped junior analysts develop their skills. This will highlight your potential as a lead-level candidate.
✨Get Familiar with Their Culture
Research the company’s culture and values. They appreciate autonomy and collaboration, so think of examples from your past where you’ve thrived in similar environments. Showing that you align with their ethos will make you a more attractive candidate.
