Assist with and lead insurance and reinsurance underwriting, including risk selection and aggregate management.
• Focus on growing our commercial book in admitted and surplus lines, including parametric • Develop market distribution channels and build strong relationships with wholesale and retail brokers to grow a quality book of business.
• Review, analyze, and price new and renewal submissions for property, catastrophe, and parametric weather risks within your authority.
• Partner with data science and risk modeling teams to use catastrophe models, weather data, and exposure analytics in pricing decisions.
• Structure parametric triggers, limits, and payout terms that fit each client's actual exposure.
• Prepare underwriting files, referrals, and pricing rationale for capacity partners and internal review.
• Monitor portfolio aggregation, accumulation, and loss performance, and flag concentrations or trends.
• Make sure all business is written within underwriting guidelines, authority limits, and regulatory requirements, including surplus lines rules.
• Help refine underwriting guidelines, rating tools, and workflows as products and markets expand.
• Mentor junior underwriters and analysts as the team grows.
• 4+ years of experience in commercial property underwriting, property brokerage, or a closely related role.
• Solid understanding of catastrophe exposure (wind, wildfire, flood, or similar) and how it drives pricing and capacity.
• Experience in the excess and surplus (E&S) lines market, working with wholesale brokers.
• Comfort working with data, cat model output, and pricing tools; strong Excel skills.
• Sound judgment on risk selection, and the confidence to decline or restructure business that doesn't fit.
• Clear written and verbal communication with brokers, partners, and internal teams.
• An active Property & Casualty license, or willingness to obtain one within 90 days of hire.
Experience at an MGA, insurtech, or other technology-driven underwriting platform.
• Exposure to parametric insurance, weather derivatives, or alternative risk transfer.
• Familiarity with catastrophe modeling platforms (e.g., Verisk, Moody's RMS) or in-house ML pricing models.
• Working knowledge of Python, SQL, or similar tools for analyzing exposure data.
• Professional designations such as CPCU, AU, or ARM.