Actuarial & Insurance AI Partner
Posted 27 minutes ago
You'll apply on the company's website.
About the Role
In this capacity, you will act as a key participant in creating artificial intelligence solutions designed specifically for the insurance industry. Your main objective is to guarantee the integrity of actuarial logic within these models, ensuring that all resulting risk evaluations are dependable and precise. By utilizing your specialized industry knowledge, you will build a framework of regulatory adherence and confidence for automated systems. You are necessary to connect advanced machine learning techniques with the demanding standards of the insurance field, playing a primary role in refining AI tools that manage essential functions like risk management, reserving, and pricing with exactitude.
Requirements
- Possess a degree in Mathematics, Statistics, or Actuarial Science, with professional certification at the Associate (ASA) or Fellow (FSA) level being highly preferred.
- Demonstrate a successful history in health, life, or property and casualty insurance, with a focus on reserving, underwriting, or pricing.
- Maintain proficiency in statistical analysis and advanced risk modeling techniques.
- Exhibit high levels of precision and an advanced capacity to navigate and apply intricate regulations, rules, and data structures to verify AI output.
Responsibilities
- Assess AI risk models by scrutinizing the logic and results related to risk forecasting, reserving, and pricing.
- Execute systematic data extraction and detailed labeling of unstructured materials, such as medical records and insurance claims.
- Verify the precision of AI technologies as they perform regulatory compliance reviews during the underwriting and claims handling process.
- Create and engineer sophisticated actuarial models for intense stress testing and continuous validation protocols.
Benefits & Perks
- Pay is generally between 70 and 150 USD per hour, with the specific rate determined by the depth of niche expertise or professional experience, as well as the difficulty of the assignment.
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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