At a Glance
- Tasks: Lead risk analysis and develop profitable underwriting strategies using real-time data.
- Company: Dynamic InsurTech firm revolutionising the motor insurance market with a start-up vibe.
- Benefits: Up to £100k salary, 10% bonus, remote work options, and generous holiday allowance.
- Other info: Great career growth opportunities and a supportive culture focused on innovation.
- Why this job: Make impactful decisions that shape real products in a collaborative, autonomous environment.
- Qualifications: Experience in underwriting and data analysis, strong Python or R skills required.
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 Risk & Portfolio Analyst (InsurTech) - Up to £100k + bonus in Hampshire employer: Skillful
As a leading InsurTech in the UK short-term motor insurance market, this company offers a dynamic work environment that combines the agility of a start-up with the support of a larger group. Employees enjoy a collaborative culture that fosters autonomy and real ownership, alongside generous benefits such as a 10% discretionary bonus, extensive holiday allowances, and a dedicated learning budget, making it an excellent employer for those seeking meaningful and rewarding careers in London or Hampshire.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Risk & Portfolio Analyst (InsurTech) - Up to £100k + bonus in Hampshire
✨Tip Number 1
Network like a pro! Reach out to people in the InsurTech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. You want to showcase your experience in underwriting and data analysis, but also how you can communicate complex ideas clearly. Remember, they’re looking for someone who can bridge the gap between data and decision-making!
✨Tip Number 3
Show off your technical skills! Be ready to discuss your experience with Python, SQL, and BI tools. Maybe even bring a portfolio of projects or examples where your analysis made a real impact. This is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Risk & Portfolio Analyst (InsurTech) - Up to £100k + bonus in Hampshire
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Risk & Portfolio Analyst role. Highlight your underwriting and data experience, especially in motor insurance, to show us you’re the right fit.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this role and how your background makes you a great candidate. Don’t just repeat your CV; give us insights into your thought process and how you approach problem-solving.
Showcase Your Technical Skills:We want to see your strong Python or R skills and your ability to work with SQL. If you’ve got experience with BI tools like PowerBI or Tableau, make sure to mention it! We love seeing real examples of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Skillful
✨Know Your Numbers
Make sure you brush up on your data skills, especially in Python or R. Be ready to discuss how you've used these tools in past roles, particularly in developing underwriting strategies or fraud detection models. Having specific examples at hand will show that you can translate complex data into actionable insights.
✨Speak Their Language
Since the role involves explaining complex analysis to non-technical stakeholders, practice simplifying your past projects. Think about how you can break down your findings into clear, relatable terms. This will demonstrate your ability to communicate effectively across teams, which is crucial for this position.
✨Show Your Leadership Skills
Even if you're not in a formal leadership role yet, think of instances where you've guided junior analysts or led projects. Be prepared to share how you foster collaboration and push decisions forward without needing much direction. This will highlight your lead-level mindset and fit with their culture.
✨Get Familiar with Their Tools
Research the BI tools they use, like PowerBI or Tableau, and be ready to discuss your experience with similar platforms. If you have any familiarity with cloud data warehouses like BigQuery or Azure, mention that too. Showing that you're proactive about understanding their tech stack will set you apart.
