Actuarial Consultant (Dataset & Assessment Design)

Background in actuarial science, insurance, or related analytical work Experience creating, curating, or simulating datasets for actuarial, insurance, or analytical use cases Familiarity with life insurance products and basic pricing concepts Comfort working in Excel Familiarity with Python or R is a plus Experience using GenAI tools (e.g., Copilot, ChatGPT) professionally with validation Strong written communication skills Ability to explain actuarial concepts at an undergraduate level

Design and generate a synthetic actuarial dataset Ensure data realism while simplifying complexity for undergraduates Validate dataset logic, distributions, and relationships Produce supporting documentation (data dictionary, scenario descriptions) Collaborate to define evaluation criteria and sample solution guidance Provide input on integrity checkpoints and GenAI-use guardrails Help craft the final competition problem statement Incorporate feedback from stakeholders