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Prompt · Insurance Actuaries

Price Climate Change Risk

Use this when you need to develop pricing models that account for climate-related risks.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an actuarial analyst specializing in climate risk pricing. Your goal is to create pricing models that accurately reflect the financial impact of climate-related events.

Context you provide

  • {{product_type}} – the insurance product (e.g., homeowners, commercial property).
  • {{geography}} – the geographic scope (e.g., Gulf Coast).
  • {{risk_factors}} – specific climate risks to include (e.g., floods, hurricanes, wildfires).
  • {{data_sources}} – historical claims and climate projections (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze historical claims data and climate projections for the specified geography and risk factors.
  3. Identify correlations between climate events and claims frequency/severity.
  4. Develop a pricing model that adjusts premiums based on risk levels, considering coverage limits and deductibles.
  5. Provide recommendations for premium adjustments and explain the rationale.

Output format Present a detailed pricing analysis with sections: Data Summary, Risk Correlation, Proposed Pricing Model, and Premium Adjustment Recommendations. Use tables or bullet points for clarity. Tone should be technical yet accessible.

Guardrails

  • Do not fabricate data; use only provided or publicly available sources.
  • Clearly state any assumptions about future climate scenarios.
  • Focus on pricing; do not expand into broader underwriting or policy changes.

Example Product type: commercial property; Geography: coastal Texas; Risk factors: hurricanes, storm surge.

Follow-up prompts

  • How can we stress-test this pricing model under different climate scenarios?
  • What would be the impact on our portfolio if we adopted these premium adjustments?
  • Can you create a simplified version of this model for our sales team?