Actuarial and Data Science Model Validation
Core
Lead validation of AI, GenAI, and traditional actuarial models to ensure integrity, accuracy, and regulatory compliance across an insurance enterprise.
Role type
Senior IC Model Risk Manager / Validator (AI & GenAI focus)
Builds
Validated model assessments, challenger solutions, testing frameworks, and validation reports for AI/GenAI use cases.
Domain
Insurance (P&C, Group, Life) + Artificial Intelligence / Generative AI
Deliverable
production ML models
Required skills
Machine learning, Generative AI, Prompt engineering, Context engineering, RAG frameworks, LLM evaluation, Neural networks, Python, R, SQL, SAS
Preferred skills
Actuarial Science, Insurance product experience, Vertex AI, LangChain, HuggingFace, OpenAI APIs
Technologies
Vertex AI, Google agent development kit, LangChain, LangGraph, RAG frameworks, HuggingFace, OpenAI APIs
Responsibilities
Perform model validations on AI and GenAI use cases; Ensure model calculations and algorithms are accurate; Design challenger solutions and testing methods; Review quantitative and qualitative testing techniques; Assess data inputs, assumptions, and prompt engineering; Review model outputs for accuracy; Deliver effective challenge to modeling elements; Identify findings and compile validation reports; Enhance GenAI model validation frameworks; Strengthen partnerships with Data Science teams.
Seniority
Senior, hands-on IC