<p><strong>About Reask</strong></p><p>Most catastrophe models used by the insurance industry are based on resampling and extrapolating historical track data. That worked when the climate was stable. It isn't. Reask was founded to build the next generation: models driven by the physics of any climate state, as good in Mozambique, Samoa, or the Philippines as in Florida. In a market accustomed to black boxes, Reask publishes its model methodology in peer-reviewed scientific papers.</p><p><br></p><p>Metryc, Reask's high-resolution wind-at-location product, delivers the modelled wind speed at any insured location after every tropical cyclone globally, and is fast becoming the reference currency for parametric wind-at-location contracts worldwide. When a storm makes landfall, the Metryc wind speed is what the payout is settled against. Reask data is trusted for pricing and settlement by leading insurers, reinsurers, brokers, and public sector risk pools. Beyond tropical cyclone, Reask increasingly supports wildfire covers and other extreme weather perils.</p><p><br></p><p>It's a small team of scientists and engineers doing work that a much larger industry runs on. If you want your work to end at a slide deck, this is the wrong place. If you want it to settle contracts after a storm, keep reading.</p><p><br></p><p><strong>The role</strong></p><p>This is a parametric analyst role, reporting into the Head of Global Data Products, leading the parametric insurance business line, one of Reask's fastest-growing pillars. It sits exactly where science and tech meet the market, from buyers to brokers to capacity providers. The role spans two core areas of responsibility:</p><p><br></p><p><strong>1. Creating value: structuring, analytics & delivery.</strong></p><p>You will handle incoming client requests end-to-end: extracting and preparing data primarily programmatically via the Reask API so that it accurately reflects the contractual structure, pricing parametric structures of any type, including pricing KPIs, loss distributions, and basis risk analysis.</p><p><br></p><p>You will prepare payout calculation frameworks and perform calculation agent tasks, including preparing event reports across all deal types and perils where Reask acts as calculation agent.</p><p><br></p><p>You will review and develop policy wording reflecting the trigger and payout calculation, ensuring that the wording is fully consistent with how the deal is priced and triggered.</p><p><br></p><p>You will do consultancy work for public sector clients, such as writing risk reports or applying to RFPs.</p><p><br></p><p><strong>2. Building the tools the market runs on.</strong></p><p>You will maintain and further develop the Reask apps that are widely used across the parametric insurance market: implementing client feedback, building new tools as needed, and deploying them systematically.</p><p><br></p><p>You will work in Python and R on top of the Reask API and manage development and deployment through GitHub. In both areas, you will work closely with our science and tech teams internally, while everything that goes out to the market represents a Reask product - consistent, accurate, and client-ready.</p><p><br></p><p><strong>Who we're looking for</strong></p><p>We care more about how you think than where you sit. The person we want is quantitatively sharp, curious about extreme weather down to the physics, and drawn to a company where the distance between an idea and a shipped product is measured in days.</p><p><br></p><p>The closest existing label for this role is a parametric structurer or analyst at a broker desk: you understand the dynamics and speed of live opportunities with quick turnaround times, deal flow, hit ratios - and you know what it takes to keep transactions moving without sacrificing accuracy. But we're equally interested in an exceptional extreme-weather or climate-risk analyst from an adjacent seat (an asset manager, ILS fund, re-/insurer).</p><p><br></p><p>Either way, we don't expect you to simply execute: if something is missing or ambiguous, you raise it and clarify before anything goes out.</p><p><br></p><p>The ideal candidate will have:</p><p><br></p><ul><li>2–5 years' experience in parametric insurance, catastrophe risk, or quantitative extreme-weather analysis; broker-side parametric experience is a strong plus</li><li>Academic background in a natural science, mathematics, or actuarial discipline</li><li>Solid understanding of tropical cyclone hazard</li><li>The judgment to critically assess requests and clarify open points with clients before delivery</li><li>Strong analytical and quantitative skills: comfortable with loss distributions, pricing metrics, and basis risk analysis</li><li>Hands-on exposure to pricing and structuring parametric transactions, or the quantitative depth to get there fast</li><li>Experience in cat modelling, risk assessment and pricing</li><li>Experience reviewing policy wordings against trigger and payout mechanics</li><li>Familiarity with calculation agent processes and post-event reporting</li><li>Proficiency in Python and R; experience with AI-assisted development, API-based workflows, GitHub, and systematic deployment</li><li>Experience building and deploying web apps or analytical tools</li><li>Hands-on experience with geospatial data, map projections, interactive visualisations and GIS software</li><li>Clear, client-ready communication in English</li><li>Self-directed and reliable in a fully remote setup</li></ul><p><br></p><p><strong>What we offer</strong></p><ul><li>Fully remote, from anywhere. London co-working available for those nearby, not required to be based in London.</li><li>Direct involvement in live transactions and client relationships from day one</li><li>Close collaboration with a leading team of scientists and engineers</li><li>Ownership of tools used daily by the parametric insurance market</li><li>A small team where your work is visible and your input shapes the product</li><li>Competitive, market-rate compensation, with eligibility to participate in our employee share plan</li></ul><p><br></p><p>To apply, please send your CV and a short note on a parametric transaction, model, or tool you have worked on to david@reask.earth.</p>