SCOR Appoints Laurent Sabatié to Lead Natural Catastrophe Risks
French reinsurance group SCOR has appointed Laurent Sabatié as its new Head of Natural Catastrophe Risks, based in London. Sabatié will be responsible for refining the company’s view of catastrophe risk, advancing its modelling capabilities, and strengthening governance around model usage. He will also drive the integration of climate and emerging risk perspectives into underwriting and portfolio management decisions.
Sabatié brings nearly two decades of experience in the re/insurance industry, most recently as co-founder of Skyline Partners, where he developed innovative natural catastrophe analytics platforms and helped structure novel catastrophe risk transfer solutions. Before that, he held senior roles at AIG and ProSight. At SCOR, he will lead the firm’s Nat Cat teams and R&D efforts, shaping the future of its risk management approach in an area of growing exposure for the industry.
Why SCOR Tapped an Entrepreneurial Modeller to Run Its Nat Cat Strategy
From Startup to Major Reinsurer: Sabatié’s Track Record
Sabatié’s move from a London‑market startup to one of the world’s largest reinsurers highlights the value placed on entrepreneurial modelling expertise. At Skyline Partners, he built analytics platforms designed to structure and price catastrophe risk transfer, blending insurance technology with practical risk financing. This hands‑on experience with parametric and alternative risk transfer solutions is likely to inform SCOR’s product development as it seeks to offer more tailored coverage to cedants facing increasingly complex loss patterns.
Bolstering SCOR’s Nat Cat Arsenal
The appointment signals SCOR’s intent to strengthen its technical edge in a market where loss frequency and severity are being reshaped by climate change. Sabatié’s remit to integrate climate and emerging risk perspectives directly into underwriting decisions goes beyond traditional cat modelling, pushing the firm toward dynamic, forward‑looking risk assessment. For SCOR, which reported EUR 454 million in nat cat claims in 2025 alone, more precise modelling could mean better capital allocation, reduced earnings volatility, and a competitive advantage when pricing complex layers of reinsurance.
A Talent War in Reinsurance Modelling
Sabatié’s recruitment underscores a broader industry battle for scarce talent that combines deep coding and data science skills with an understanding of re/insurance mechanics. With larger rivals like Munich Re and Swiss Re also pouring resources into their own climate intelligence units, SCOR’s ability to attract a seasoned modeller from the front lines of insuretech signals it is willing to compete aggressively for human capital as much as for premium. How well Sabatié can transplant his startup mindset into a large corporate structure will be a key test for the strategy’s execution.
What SCOR’s Enhanced Nat Cat Focus Means for the Reinsurance Market
- For SCOR’s underwriting teams: Expect a shift toward more granular, climate‑attuned models that may alter risk appetites on certain perils, particularly secondary perils like wildfire and convective storm, which have traditionally been harder to quantify.
- For competing reinsurers: The hire puts immediate pressure on peers to revisit their own nat cat R&D roadmaps, especially around parametric triggers and the incorporation of near‑real‑time climate data into pricing models.
- For insurance carriers buying SCOR’s reinsurance: Over the medium term, Sabatié’s background in alternative risk transfer could lead to more flexible cat excess‑of‑loss programmes or new parametric covers that respond faster to events, reducing basis risk for cedants.
Risk & Opportunity Assessment
| Commercial Risk | Medium | Integrating a new leader and potentially new modelling philosophies carries execution risk; if internal teams resist change, SCOR’s underwriting process could be disrupted. |
| Competitive Risk | Medium | Should the appointment yield a superior modelling capability, rivals may lose ground; conversely, if Sabatié fails to deliver, SCOR could fall behind firms that have already embedded next‑gen cat analytics. |
| Regulatory Risk | Low | No immediate regulatory trigger exists, but if SCOR’s new models lead to significant changes in reserving or capital calculations, regulators may scrutinise the assumptions more closely. |
| Reputation Risk | Medium | An overpromise on climate‑informed models that underperform during a heavy catastrophe year would damage SCOR’s credibility with both clients and rating agencies. |
| Technology Disruption | High | Sabatié’s history of building innovative analytics platforms suggests he could introduce cutting‑edge tools—ranging from machine‑learning‑based loss estimation to satellite‑driven exposure mapping—that change how nat cat risk is priced. |
| Commercial Opportunity | High | Enhanced modelling could permit more accurate risk selection and pricing, potentially allowing SCOR to write business at more favourable margins and attract cedants seeking sophisticated climate‑risk transfer. |
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