Willis Re
Actuarial (Property)

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Seeking An Experienced Property Reinsurance Pricing Actuary.
The Role
We are looking for a Property Reinsurance Pricing Actuary to join our growing Analytics team in London.
Working closely with Brokers, Clients and Analytics colleagues, you will deliver pricing insight across Property Risk XL, Catastrophe XL, Retrocession and ILW business. You'll help develop the tools, methodologies and analytical capabilities that support reinsurance placements, portfolio optimisation and client strategy.
This is an opportunity for a technically strong actuary to combine pricing expertise, catastrophe modelling knowledge and commercial insight in a highly visible role at the heart of the treaty reinsurance market.
Key Responsibilities
- Lead pricing and portfolio analytics for Property Risk XL, Catastrophe XL, Retrocession and ILW business.
- Apply experience, exposure and catastrophe modelling techniques to assess risk and pricing adequacy.
- Evaluate treaty structures including attachments, limits, reinstatements, hours clauses and aggregate features.
- Provide insight on catastrophe model output, model uncertainty and non-modelled exposures.
- Support the design and optimisation of reinsurance programmes, including aggregate, multi-year and capital-efficient structures.
- Translate analytical findings into clear recommendations for brokers, clients and reinsurers.
- Develop and enhance pricing tools, methodologies and analytical capabilities.
- Contribute to thought leadership and support the development of junior colleagues.
- Leverage automation and AI-enabled solutions to improve analytics and workflow efficiency.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About You
- Qualified Actuary (FIA, FCAS or equivalent).
- Strong reinsurance pricing experience, ideally within the London Market.
- Deep expertise in Property Risk XL and Catastrophe XL business.
- Strong understanding of catastrophe modelling and portfolio analytics.
- Experience supporting treaty reinsurance programme design and pricing.
- Proven ability to develop analytical tools, methodologies or pricing frameworks.
- Strong communication skills with the ability to influence technical and non-technical stakeholders alike.
- Commercially minded, innovative and comfortable working in a fast-paced environment.
Desirable
- Retrocession and/or ILW experience.
- Igloo or other stochastic pricing and capital modelling platforms.
- Python, SQL, Power BI or Tableau.
- Engineering or Terrorism treaty reinsurance experience.
- Practical application of Generative AI within actuarial or analytical workflows.
About Willis Re
We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused.
At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking.
Willis Re will also leverage recognized technical expertise from WTW’s Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW’s Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.
Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at talentacquisition@willisre.com.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location