Everest
Everest
Everest ir globāla apdrošināšanas un pārapdrošināšanas sabiedrība, kas specializējas īpašuma, nelaimes gadījumu un specializēto risku apdrošināšanā. Uzņēmums dibināts 1973. gadā un darbojas vairāk nekā 115 valstīs sešos kontinentos, apvienojot apdrošināšanas riska novērtēšanas pieredzi, stabilu kapitālu un disciplinētu risku pārvaldību, lai palīdzētu klientiem risināt sarežģītus un mainīgus riskus. Tā plašais produktu klāsts apkalpo uzņēmumus un partnerus, kuri meklē aizsardzību mainīgā risku vidē, savukārt starptautiskais darbaspēks atbalsta darbību finansējuma, apdrošināšanas, risku novērtēšanas, analītikas, atlīdzību administrēšanas un saistītajās jomās.

Catastrophe Pricing Actuary - New York Hybrid

Develop catastrophe pricing strategies and models for Everest’s global insurance business. Support portfolio risk management across major perils and international markets.

Apraksts

  • Lead catastrophe pricing strategy across major perils, including hurricanes, earthquakes, wildfires, and floods, in designated global markets.
  • Implement a next-generation pricing framework using model outputs, climate insights, and portfolio considerations.
  • Align pricing with risk-adjusted returns, market conditions, and underwriting objectives.
  • Convert catastrophe model outputs from Verisk, Moody’s, and other platforms into pricing metrics and underwriting guidance.
  • Create CAT pricing loads, technical pricing assumptions, and pricing segmentation approaches.
  • Improve data supporting risk rating, modeling methods, and pricing tools.
  • Track catastrophe accumulation and portfolio risk.
  • Evaluate rate adequacy, profitability, and catastrophe return metrics.
  • Support portfolio optimization through pro formas reflecting changes to limits, attachment points, deductibles, and sublimits.
  • Provide traditional and technical actuarial support to Everest’s Primary Casualty business.
  • Build new tools and capabilities as the business expands.

Prasības

  • At least five years of actuarial experience in property pricing.
  • Expert knowledge of catastrophe modeling platforms such as Verisk and Moody’s, along with CAT risk concepts.
  • Demonstrated experience applying catastrophe modeling to pricing and portfolio decisions.
  • Advanced analytics skills, with proficiency in SQL and preferably Python or R.
  • Ability to turn analytical findings into practical business decisions.
  • Strong communication skills for explaining complex catastrophe and pricing topics to nontechnical stakeholders.
  • Comfort working in a fast-changing environment with competing priorities.

Priekšrocības

  • Health insurance coverage.
  • Employee wellness program.
  • Life and disability insurance.
  • 401(k) match.
  • Retirement savings plan.
  • Paid holidays.
  • Paid time off.
  • Reasonable accommodations during the application or interview process and when performing essential job functions.

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