Actuarial & Insurance AI Partner
Posted 2 hours ago
You'll apply on the company's website.
About the Role
In this position, your main goal is to verify that actuarial principles remain sound within artificial intelligence systems, ensuring that risk evaluations are accurate. You act as a core subject matter expert to build reliable AI tools that adhere to regulatory requirements. Your contributions will shape how insurance software processes intricate financial information and handles risk factors across various claims and underwriting operations. By connecting classic actuarial methods with contemporary machine learning, you ensure the dependability of automated insurance systems.
Requirements
- You must possess an academic degree in Mathematics, Statistics, or Actuarial Science, with professional designations like ASA or FSA being highly preferred.
- You should have industry experience in areas like life, health, or property and casualty insurance, particularly in reserving, underwriting, or pricing.
- You need strong proficiency in statistical analysis and risk modeling.
- You are required to show high levels of precision and a demonstrated capacity to handle technical data and complicated rule sets.
Responsibilities
- You will assess AI risk models by auditing the logic and results related to forecasting, reserving, and pricing.
- You will conduct data extraction and careful labeling of unstructured files, such as medical records and insurance claims.
- You will confirm the validity of automated compliance protocols throughout the processes of underwriting and claims management.
- You will create and document advanced actuarial use cases to stress test and verify the performance of insurance models.
Benefits & Perks
- Pay for this expert role is typically between 70 and 150 USD per hour, based on the professional background of the candidate and the intricacy of specific assignments.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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