At a Glance
- Tasks: Lead catastrophe risk modelling and influence underwriting decisions using data-driven insights.
- Company: Fast-growing tech-enabled US Property MGA backed by a global insurance platform.
- Benefits: Ownership of portfolio performance, opportunity to shape modern underwriting strategies.
- Other info: Join a high-calibre team and enjoy a dynamic, fast-paced environment.
- Why this job: Make a real impact on property risk management and drive better outcomes.
- 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 Edinburgh employer: FinPro.
Join a dynamic and innovative team at a fast-scaling US Property MGA, where you will have the unique opportunity to lead catastrophe risk modelling and directly influence underwriting decisions. Our data-driven culture fosters collaboration with high-calibre professionals, offering you real ownership of portfolio performance and the chance to shape a modern underwriting platform. With strong support from established insurance capital, we provide an environment that encourages professional growth and impactful contributions in a rapidly evolving market.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Catastrophe Risk Modeler in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in catastrophe risk modelling or underwriting. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or case studies that highlight your experience with catastrophe modelling and how you've influenced underwriting decisions. This will set you apart from the crowd.
✨Tip Number 3
Be ready for the interview! Research the company’s approach to data-led underwriting and come prepared with insights on how you can contribute. Ask questions that show you’re genuinely interested in their strategy.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Catastrophe Risk Modeler in Edinburgh
Some tips for your application 🫡
Show Your Passion for Data:When 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.
Connect the Dots:Make sure to clearly connect your experience with catastrophe risk to the specific requirements of the role. We want to see how your background in US property risks like wildfire and flood translates into real-world applications.
Be Authentic:Don’t be afraid to show your personality! We’re looking for strong communicators who can influence teams. A bit of your unique voice in your application can really help you stand out.
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 any important updates from our team!
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 insights to both technical and non-technical audiences.
✨Embrace the Fast-Paced Environment
This isn't a traditional modelling role, so be prepared for a dynamic and sometimes ambiguous setting. Share experiences where you've thrived in fast-moving environments and how you adapt to change while maintaining focus on portfolio performance.
