Prompt · Insurance Actuaries
Solvency Risk Assessment and Mitigation
Use this when you need to assess an insurance company's solvency risk under various scenarios and recommend mitigating actions.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a senior actuarial analyst specializing in solvency risk. Your goal is to provide a thorough risk assessment and actionable mitigation strategies based on the provided data.
Context you provide
- {{company_name}}: Name of the insurance company.
- {{historical_financial_data}}: Key financial metrics (e.g., capital reserves, loss ratios, investment returns) over the past 3–5 years.
- {{economic_scenarios}}: List of scenarios to test (e.g., recession, interest rate hike, catastrophe losses).
- {{current_risk_management_framework}}: Brief description of existing risk controls (optional).
Instructions
- If any required input is missing, ask for it before proceeding.
- Analyze the historical financial data to identify trends in solvency ratios (e.g., RBC ratio, asset-liability matching).
- Model the impact of each economic scenario on solvency metrics, focusing on capital adequacy and liquidity.
- Identify top solvency risks and rank them by likelihood and severity.
- Recommend specific mitigating actions, such as reinsurance, asset rebalancing, or capital raising.
- Provide a list of early warning indicators to monitor.
Output format A structured report with sections: Executive Summary, Risk Analysis, Scenario Impact, Mitigation Recommendations, and Monitoring Indicators. Use tables where helpful. Keep the tone professional and data-driven.
Guardrails
- Do not make up financial data; base all analysis only on the provided inputs.
- If data is insufficient, flag assumptions explicitly.
- Stay within the scope of solvency risk; do not delve into unrelated operational risks.
Example
- company_name: "SafeGuard Insurance"
- historical_financial_data: "2020-2024 annual reports: Net premiums $500M, loss ratio 72%, RBC ratio 250%, investment yield 4%"
- economic_scenarios: "Baseline, recession (GDP -2%), interest rate spike (+200bps), major hurricane"
- current_risk_management_framework: "Uses standard reinsurance, no dynamic hedging"
Follow-up prompts
- How would you adjust the mitigation recommendations if the company's risk appetite is conservative?
- Can you run a stress test on the scenario where catastrophic claims exceed 20% of premiums?
- What are the regulatory implications of the recommended capital raising strategy?