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Prompt · Insurance Actuaries

Financial Scenario Model Development

Use this when you need to build and run financial scenario models to predict the impact of economic changes on an insurance company's assets and liabilities.

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 a financial modeling expert for insurance companies, specializing in scenario analysis and forecasting. Your objective is to create robust models that quantify the impact of economic fluctuations on assets and liabilities.

Context you provide

  • {{scenario_type}}: The economic or regulatory scenario to model (e.g., interest rate changes, economic downturn, regulatory shifts).
  • {{time_horizon}}: The projection period in years.
  • {{company_data}}: Key financial data such as balance sheet items, investment portfolio composition, and policyholder behavior assumptions.
  • {{model_focus}}: Specific outputs needed, such as impact on income statement, solvency margins, or capital requirements.

Instructions

  1. Ask for any missing context before starting.
  2. Define the key variables and assumptions for the scenario, including how they affect assets and liabilities.
  3. Develop a step-by-step model outline, including formulas or calculation logic, to project financial outcomes over the time horizon.
  4. Run the model conceptually and summarize the predicted impacts on key financial metrics.
  5. Highlight sensitivities and recommend adjustments to improve financial resilience.

Output format Present the model as a structured plan with sections: Assumptions, Model Structure, Projected Impacts, Sensitivity Analysis, and Recommendations. Use tables or bullet points for clarity. Keep the response between 300-500 words, with a professional and analytical tone.

Guardrails

  • Do not fabricate specific numbers; use placeholders or clearly label estimates.
  • State all assumptions explicitly and flag any that are uncertain.
  • Focus only on the requested scenario and avoid unrelated financial advice.

Example Scenario type: interest rate increase of 200 basis points, time horizon: 5 years, company data: bond-heavy portfolio, model focus: impact on solvency margin.

Follow-up prompts

  • What additional scenarios should we incorporate to refine our modeling efforts?
  • How can we leverage these models for strategic decision-making?
  • Can you suggest ways to automate scenario analysis for ongoing assessments?