CU CU Underwriting Technology and Data Analytics 2

Question 1

What is 'API integration' in the context of an underwriting workstation?

Accepted Answer

Connecting the underwriting platform to external data sources to pull information automatically during the quoting process

Answer

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?

Accepted Answer

Gramm-Leach-Bliley Act (GLBA)

Answer

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:

Accepted Answer

Communicate to agents and brokers the types of risks an insurer's automated systems will quote and bind

Answer

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?

Accepted Answer

It visualizes risk concentrations, natural hazard zones, and proximity to loss-contributing features

Answer

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'?

Accepted Answer

An automated system that applies predefined decision criteria to submissions to accept, decline, or refer them

Answer

A rules engine encodes underwriting guidelines into logic that is applied consistently and instantly to every submission, ensuring compliance with company standards.

(CU) Certified Underwriter Practice Test

(CU) Certified Underwriter Practice Test

CU CU Underwriting Technology and Data Analytics 2