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Chief Pricing Actuary (AI)

344 000 - 400 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
c_level
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Chief Pricing Actuary – Global Wholesale and Specialty (AI): Leading global pricing strategy, underwriting decision science, and advanced analytical capabilities across specialty insurance and wholesale businesses with an accent on AI, machine learning, predictive modeling, and pricing governance. Focus on modernizing pricing infrastructure, developing risk and catastrophe pricing models, and translating complex actuarial insights into profitable underwriting and capital allocation decisions.

Location: Warren, New Jersey, with additional locations in London and New York, New York

Salary: $344,000–$400,000 annually

Company

hirify.global is a global risk-management and reinsurance company focused on underwriting risk, long-term value creation, and business protection.

What you will do

  • Define and execute global pricing strategy across the Global Wholesale and Specialty insurance and facultative businesses.
  • Lead the transformation of pricing into a technology-enabled, analytics-driven function.
  • Establish the roadmap for AI, machine learning, predictive analytics, and intelligent workflow automation in underwriting.
  • Oversee the design, validation, deployment, monitoring, and governance of pricing models and infrastructure.
  • Guide complex transaction-level and catastrophe pricing analysis in partnership with underwriting and catastrophe analytics teams.
  • Lead a global pricing and analytics organization and advise executive leadership on profitability, risk, and capital allocation.

Requirements

  • FCAS qualification required.
  • At least 15 years of actuarial pricing and leadership experience.
  • Experience leading global teams and complex cross-functional initiatives in specialty insurance, wholesale insurance, reinsurance, or facultative markets.
  • Expertise in exposure-based pricing, catastrophe risk pricing, stochastic techniques, risk segmentation, predictive modeling, and return-on-capital frameworks.
  • Knowledge of Python, SQL, R, and cloud-based analytical environments.
  • Strong executive communication, commercial judgment, stakeholder management, and change leadership skills.

Nice to have

  • Bachelor’s degree in actuarial science, mathematics, statistics, data science, economics, engineering, or a related discipline.
  • Experience implementing AI, machine learning, and advanced analytical solutions in insurance organizations.

Culture & Benefits

  • Inclusive culture guided by talent, thoughtful risk-taking, execution, efficiency, humility, leadership, collaboration, and belonging.
  • Health insurance coverage, wellness program, life and disability insurance, and 401(k) match.
  • Retirement savings plan, paid holidays, and paid time off.
  • Reasonable accommodations are available during the application and employment process.

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