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- Tasks: Lead catastrophe risk modelling and influence underwriting decisions using data-driven insights.
- Company: Fast-growing tech-enabled US Property MGA backed by a leading global insurance platform.
- Benefits: Real ownership of portfolio performance and opportunity to shape modern underwriting strategies.
- Other info: Join a high-calibre team and thrive in a fast-paced, innovative setting.
- Why this job: Make a direct impact on growth and loss ratios in a dynamic environment.
- Qualifications: Experience in catastrophe modelling or pricing with strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
We’re partnering with a fast scaling, tech enabled US Property MGA backed by a leading global insurance platform. They write a very successful property book across homeowners, flood, wildfire, and earthquake, and are building a data first underwriting engine designed to outperform traditional market approaches. This is not a traditional modelling role. This is about owning how catastrophe risk translates into underwriting decisions and portfolio performance.
The Opportunity
You’ll sit at the centre of underwriting, pricing, and analytics, working directly with the CUO, underwriting leads, and engineering teams. The focus is simple: use data, models, and new sources of insight to drive better underwriting outcomes.
What You’ll Own
- Lead catastrophe risk modelling across a multi peril US property book
- Translate CAT model outputs into underwriting and pricing decisions
- Monitor and optimise portfolio performance, exposure, and loss ratios
- Partner with underwriting to shape risk selection and appetite
- Evaluate and integrate new data sources into modelling frameworks
- Work closely with engineering and data teams to support API based underwriting
- Support capacity strategy including reinsurance and capital optimisation
- Continuously refine models based on real world performance and feedback loops
What This Role Is
- A commercial, data led role influencing how a high performing property book is built and scaled
- A position that sits between modelling, underwriting, and portfolio strategy
- An opportunity to move beyond pure modelling into real business impact
Candidate Profile
- Background in catastrophe modelling, actuarial, or pricing
- Strong exposure to US property risks including wildfire, flood, earthquake, and wind
- Ability to connect modelling outputs to real underwriting decisions
- Comfortable operating in fast moving, ambiguous environments
- Strong communicator who can influence underwriting and leadership teams
Leadership and Team
- Works alongside a high calibre team of underwriters, actuaries, and data scientists
- Reports into senior underwriting leadership within a CUO structure
- Acts as a key voice in portfolio strategy and performance discussions
Why Join
- Real ownership of portfolio performance rather than purely modelling outputs
- Opportunity to shape a modern API driven underwriting platform
- Backed by established insurance capital with the agility of an MGA
- Small, high quality team with strong technical depth
- Direct impact on growth, loss ratio, and underwriting strategy
Lead Catastrophe Risk Modeler in Glasgow employer: FinPro.
Contact Detail:
FinPro. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Catastrophe Risk Modeler in Glasgow
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to catastrophe risk modelling. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, focus on how you’ve used data to influence underwriting decisions. We want to see your impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Catastrophe Risk Modeler in Glasgow
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let us see your enthusiasm for data-led decision making. Share examples of how you've used data in past roles to influence outcomes, especially in catastrophe modelling or underwriting.
Tailor Your Experience: Make sure to customise your application to highlight your experience with US property risks like wildfire, flood, and earthquake. We want to see how your background aligns with the specific challenges we face in this role.
Communicate Clearly: Since this role involves influencing various teams, clarity is key. Use straightforward language to explain your ideas and experiences. We appreciate a well-structured application that makes it easy for us to understand your thought process.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at FinPro.
✨Know Your Catastrophe Risks
Make sure you brush up on your knowledge of US property risks, especially wildfire, flood, earthquake, and wind. Be ready to discuss how these factors influence underwriting decisions and portfolio performance.
✨Showcase Your Data Skills
This role is all about data-led decision making. Prepare examples of how you've used data and models in past roles to drive better outcomes. Highlight any experience with integrating new data sources into modelling frameworks.
✨Communicate Effectively
As a Lead Catastrophe Risk Modeler, you'll need to influence various teams. Practice articulating complex modelling concepts in simple terms. Think about how you can convey your ideas clearly to both technical and non-technical stakeholders.
✨Demonstrate Business Impact
Be ready to discuss how your modelling work has translated into real business impact. Prepare specific examples where your insights have shaped underwriting strategies or improved portfolio performance.