Actuarial Pricing Model Builder
Build validated insurance pricing models with actuarial rigor and compliance
What You Can Do
Structure and validate insurance pricing models using actuarial best practices and regulatory standards. Claude helps you systematically document risk factors, perform sensitivity analysis, and generate compliance-ready documentation. You'll reduce model validation time, ensure regulatory alignment, and create defensible pricing rationale with complete audit trails.
Features
Pre-structured frameworks for life, health, property & casualty, and specialty insurance lines that enforce actuarial rigor from the start
Systematic validation of pricing assumptions against industry benchmarks, regulatory guidance, and historical data requirements
Structured documentation of all pricing variables with impact coefficients, ranges, correlation matrices, and justification narratives
Automated scenario analysis showing price elasticity, break-even points, and model behavior under adverse conditions
Built-in validation against SOX, Solvency II, NAIC Actuarial Standards of Practice, and state/provincial requirements
Automated generation of model governance records including versioning, assumptions, sign-offs, and change justifications
Real-time range checking, constraint validation, and logic verification across all model inputs and outputs
Structured outputs compatible with actuarial software, spreadsheets, and implementation teams with complete documentation
Example Output
Example 1: Life Insurance Pricing Model Structure
PRODUCT: Term Life Insurance, 20-Year Level
RISK FACTORS:
• Mortality (Primary): Industry standard with ±15% volatility range
- Age: Gompertz curve, calibrated to SOA data
- Smoking: 1.5x multiplier for smokers
- Health: Underwriting classes A-E with progressive loadings
- Occupational: Hazmat +20% to Office -10%
FLOWS:
• Expenses: 3% of premium year 1, 0.8% renewal
• Lapse: Declining curve starting 8% yr1 to 2% yr10+
• Cost of Capital (13% ROE target): 5% loading
SENSITIVITY: ±10% mortality assumption changes price ±$12-$18/month
Example 2: Compliance Validation Report
✓ NAIC Model Governance: All assumptions documented with sources
✓ SOX Internal Controls: Three-way reconciliation documented
✓ Assumption Reasonableness: Mortality within ±20% of industry reference
⚠ GAP: Lapse assumptions not updated for 18 months — recommend experience study
Example 3: Sensitivity Analysis Dashboard
Impact on 10-Year NPV at 1% Base Assumption Change:
Mortality: -$2.4M to +$2.4M [Most Sensitive]
Expense Inflation: -$0.8M to +$0.8M
Lapse Rate: -$1.2M to +$1.2M
Discount Rate: -$3.1M to +$3.1M [MOST SENSITIVE]
Stress Test (Adverse Scenario): NPV drops to -$4.2M
→ Recommendation: Adjust pricing or underwriting parameters
What's Included
- Pricing Model Templates: Ready-to-use actuarial model frameworks for life, health, P&C, and specialty lines with complete assumption structures
- Validation & Audit Framework: Checklists and procedures for assumption validation, sensitivity testing, and regulatory compliance verification
- Compliance Documentation Pack: Templates for SOX attestations, model governance records, assumption justifications, and regulatory sign-offs
- Risk Factor Worksheets: Structured templates for documenting all pricing variables, coefficients, constraints, and data sources
- Sensitivity Analysis Scenarios: Pre-built scenario libraries for stress testing, including adverse market conditions and regulatory worst-cases
- Model Handoff Documentation: Complete implementation guides and technical specifications for actuarial software and business teams
Who It's For
- Pricing Actuaries
- Product Development Managers
- Insurance Risk & Underwriting Teams
- Compliance & Regulatory Officers
- Chief Actuaries & Model Governance Leads
Best For
- Developing new insurance products
- Validating pricing assumptions and risk factors
- Creating regulatory compliance documentation
- Performing model governance reviews and sign-offs
- Conducting sensitivity and stress testing analysis
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