CU CU Underwriting Technology and Data Analytics 2 — Questions and Answers
Question 1: What is 'API integration' in the context of an underwriting workstation?
- A method to file surplus lines taxes electronically
- Connecting the underwriting platform to external data sources to pull information automatically during the quoting process (Correct answer)
- An accounting process for allocating reinsurance premiums
- A federal reporting requirement for large commercial risks
Correct answer: Connecting the underwriting platform to external data sources to pull information automatically during the quoting process
API integrations allow underwriting systems to automatically retrieve credit scores, property data, or loss history in real time, reducing manual data entry and improving accuracy.
Question 2: Which data privacy regulation most directly affects how US insurers collect and use consumer data for underwriting?
- Sarbanes-Oxley Act (SOX)
- Gramm-Leach-Bliley Act (GLBA) (Correct answer)
- Health Insurance Portability and Accountability Act (HIPAA) for all lines
- Foreign Corrupt Practices Act (FCPA)
Correct answer: Gramm-Leach-Bliley Act (GLBA)
The GLBA requires financial institutions, including insurers, to protect consumers' nonpublic personal information and provide privacy notices.
Question 3: An underwriting 'digital appetite statement' serves to:
- Legally bind the insurer to accept all submitted risks
- Communicate to agents and brokers the types of risks an insurer's automated systems will quote and bind (Correct answer)
- Replace state-filed rate and form filings
- Define reinsurance treaty parameters for facultative submissions
Correct answer: Communicate to agents and brokers the types of risks an insurer's automated systems will quote and bind
A digital appetite statement guides producers on which submissions will be handled automatically versus referred to a human underwriter, improving submission quality.
Question 4: How does geographic information system (GIS) mapping benefit property underwriters?
- It generates policy documents automatically
- It visualizes risk concentrations, natural hazard zones, and proximity to loss-contributing features (Correct answer)
- It replaces the need for building inspections entirely
- It automates premium payment processing
Correct answer: It visualizes risk concentrations, natural hazard zones, and proximity to loss-contributing features
GIS tools allow underwriters to overlay risk data on maps, identifying flood plains, wildfire zones, or wind corridors that affect pricing and coverage decisions.
Question 5: What is an underwriting 'rules engine'?
- A committee of senior underwriters that approves new policy forms
- An automated system that applies predefined decision criteria to submissions to accept, decline, or refer them (Correct answer)
- A regulatory compliance checklist published by the NAIC
- A software tool that calculates agent commissions
Correct answer: An automated system that applies predefined decision criteria to submissions to accept, decline, or refer them
A rules engine encodes underwriting guidelines into logic that is applied consistently and instantly to every submission, ensuring compliance with company standards.
Question 6: In commercial lines underwriting, 'exposure data quality' is critical because:
- Regulators require all exposure data to be submitted to the NAIC monthly
- Inaccurate exposure information leads to mispriced risks and potential adverse selection (Correct answer)
- High-quality data allows insurers to avoid state rate filing requirements
- Exposure data determines agent licensing eligibility
Correct answer: Inaccurate exposure information leads to mispriced risks and potential adverse selection
If the data describing a risk — such as payroll, revenue, or square footage — is wrong, the premium will be calculated incorrectly, distorting profitability.
CU CU Underwriting Technology and Data Analytics 2
What is 'API integration' in the context of an underwriting workstation?