WHAT YOU’LL DO:
• Build, validate, and maintain the actuarial and statistical models we use to price property risk, both CAT and non-CAT.
• Work with a collaborative group of 10+ actuaries, geographically dispersed, with a core group located in NYC.
• Use those models to produce indicated rates, layer pricing, limit adequacy reads, retention analysis, and TCOR views that feed real placement decisions.
• Get hands-on with the data. That means cleaning up SOVs, loss runs, and policy schedules, and setting up workflows so the next analysis is faster than the last one.
• Turn model output into something a client can read. Think slides, benchmarks, and short written narratives our brokers can put in front of a CFO without translating.
• Sit with producers, property practice leaders, and clients to walk through the numbers, take the hard questions, and help shape program structure.
• Pitch in on new business. Request for Proposals, prospect meetings, and any deliverable where the actuarial story matters.
• Use AI to move faster and to push back on your own work. We expect you to lean on AI tools for the grunt work (data cleanup, first-pass code, drafting client narratives) and to stress-test your models with it: poke holes in assumptions, run sanity checks, and pressure-test results before they go out the door.
• Keep your models documented and auditable so anyone on the team can pick them up.