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AIG

Underwrites insurance for businesses and individuals

Head of Actuarial Pricing Analytics

Actuarial & Risk ModellingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of relevant experience, particularly in technical pricing, actuarial work, or predictive modelling.
  • A degree in a mathematical or computer science-related discipline.
  • Comfort coding in R, Python, or another language popular for data science, with strong software engineering practices including version control, testing, code review, and reproducible pipelines.
  • Practical experience using AI or generative AI tools to accelerate analytics delivery, including coding assistance, documentation, testing, and exploratory analysis, with appropriate controls.
  • Experience establishing and embedding best-practice ways of working for AI-enabled analytics, including model risk considerations, documentation standards, validation, and governance, across North America.
  • Expertise in Excel, SQL, or other programming languages is useful.
  • Strong analytical and problem-solving skills.
  • Strong business, collaboration, and time-management skills, responsive to service needs and operational demands.
  • Excellent communication, presentation, and interpersonal skills, including the ability to communicate complex technical concepts to non-technical audiences.

Responsibilities

  • Work with Product Actuaries and Underwriting across North America to build and maintain advanced statistical modelling pipelines that support rating tools and business decisions.
  • Ensure timely delivery of a prioritized North America modelling portfolio on AIG's modelling platforms, using AWS SageMaker AI for coded models and providing oversight on non-code pipelines such as Radar where required.
  • Lead delivery of Radar models for North America where needed, ensuring best-practice model building, documentation, controls, and governance.
  • Lead training and support for Actuaries using advanced modelling and analytics approaches, acting as an independent subject-matter leader and coach, and driving adoption of AI-enabled tools and best practices across North America.
  • Lead enhancement and standardization of scalable modelling processes and tools across AIG's North America product portfolio.
  • Research and develop algorithmic techniques to improve processes and data quality using data science and technology, including evaluating and embedding appropriate AI and generative AI techniques and tools, and influencing senior stakeholders on approach and adoption.
  • Own projects using Agile planning approaches, provide end-to-end technical leadership, apply rigorous coding standards when reviewing others' work, and manage multiple junior resources.
  • Operate as an independent leader, proactively shaping priorities, partnering with senior stakeholders, owning delivery outcomes for North America, and broadening the skillset and experience of the existing team.

Desired Qualifications

  • Experience using cloud platforms such as AWS, GCP, or Azure and purpose-built solutions such as Emblem or Radar to deliver modelling pipelines, including deploying and maintaining models in production; experience leading delivery and governance of AWS and Radar modelling pipelines is strongly preferred.
  • Experience working within an Agile framework, including ownership of delivery plans and mentoring others.
  • Qualified actuary from a recognized actuarial society, or qualified by experience.

About the Company

AIG

Underwrites insurance for businesses and individuals

AIG underwrites property and casualty insurance for businesses and individuals, covering losses from damaged assets, legal claims and personal accidents. Its commercial policies span risks such as cyberattacks, shipping losses and aviation accidents, while personal coverage includes accident and health insurance and protection for valuable homes. Brokers and agents connect clients with insurers that assess risks, set premiums and handle claims under each policy's terms. The group earns insurance premiums and investment income on assets held to meet future claims. Its operating roots date to Shanghai in 1919, and its headquarters are in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1919

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