Назад
Company hidden
1 месяц назад

Head of Actuarial Pricing Analytics - North America (AI)

147 000 - 185 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Head of Actuarial Pricing Analytics - North America (AI): Building and governing advanced statistical modelling pipelines and predictive rating tools for AIG’s North American commercial insurance products with an accent on actuarial pricing, cloud deployment, software engineering, and AI-enabled analytics. Focus on leading modelling delivery in AWS SageMaker and Radar, standardizing governance and best practices, mentoring actuaries, and solving complex data and risk modelling challenges.

Location: Chicago, Illinois, United States; primarily office-based

Base salary for Illinois: $147,000–$185,000 annually, plus eligibility for a bonus.

Company

hirify.global provides commercial and personal insurance solutions through a global property and casualty insurance network.

What you will do

  • Build and maintain advanced statistical modelling pipelines supporting rating tools and business decisions across North American commercial insurance products.
  • Lead delivery of coded models on AWS SageMaker AI and oversee non-code Radar pipelines, including documentation, controls, and governance.
  • Train and coach actuaries in advanced modelling, analytics, AI-enabled tools, and best practices.
  • Enhance and standardize scalable modelling processes and tools across the North American product portfolio.
  • Research and embed data science, AI, and GenAI techniques while influencing senior stakeholders on adoption.
  • Own Agile project delivery, review code against rigorous standards, and manage multiple junior resources.

Requirements

  • At least 10 years of experience in technical pricing, actuarial work, or predictive modelling.
  • Degree in mathematics, computer science, or a related discipline.
  • Strong coding skills in R, Python, or another data science language, with version control, testing, code review, and reproducible pipeline practices.
  • Experience with cloud platforms and modelling solutions such as AWS, GCP, Azure, Emblem, or Radar; production deployment and pipeline governance experience are strongly preferred.
  • Practical experience using AI and GenAI tools for analytics delivery, with model risk controls, documentation, validation, and governance.
  • Strong analytical, communication, collaboration, time-management, and stakeholder-management skills; actuarial qualification or equivalent experience is preferred.

Nice to have

  • Experience leading AWS and Radar modelling pipelines.
  • Expertise in Excel and SQL.
  • Experience working in Agile environments and mentoring others.
  • Qualification from a recognized actuarial society.

Culture & Benefits

  • Primarily office-based environment emphasizing in-person collaboration.
  • Comprehensive benefits supporting health, wellbeing, financial security, and professional development.
  • Continuous learning and development opportunities.
  • Inclusive culture supported by cultural awareness activities and Employee Resource Groups.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →