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📊 '''Risk score''' is a numerical value assigned to an applicant, [[Definition:Policy | policy]], or [[Definition:Exposure | exposure]] that summarizes its expected level of [[Definition:Risk | risk]] relative to a defined benchmark or peer group. Widely used in both personal and commercial [[Definition:Line of business | lines]], these scores distill complex, multidimensional information into a single metric that [[Definition:Underwriter | underwriters]] and automated systems can act on quickly. In practice, a risk score functions much like a credit score — it doesn't tell the full story, but it provides a fast, consistent starting point for decision-making.

⚙️ Generating a risk score begins with selecting predictive variables — prior [[Definition:Claim | claims]] history, geographic [[Definition:Hazard | hazard]] data, financial indicators, behavioral patterns, industry classification, or property characteristics — and weighting them through [[Definition:Actuarial analysis | actuarial]] or [[Definition:Machine learning | machine-learning]] models. The output places each risk on a spectrum, often banded into tiers that correspond to different [[Definition:Underwriting | underwriting]] actions: automatic approval, referral to a senior underwriter, or decline. [[Definition:Insurtech | Insurtech]] platforms have expanded the data inputs feeding these models, incorporating [[Definition:Telematics | telematics]], satellite imagery, and real-time sensor data to sharpen accuracy and refresh scores dynamically rather than only at [[Definition:Renewal | renewal]].

🎯 Reliable scores improve both speed and consistency across a [[Definition:Portfolio | portfolio]]. They reduce subjective variation between individual underwriters, help carriers execute their [[Definition:Risk appetite | risk appetite]] uniformly, and flag outlier risks that warrant deeper review. At a portfolio level, aggregating scores enables management to monitor shifts in [[Definition:Risk selection | risk quality]] over time and adjust strategy before [[Definition:Loss ratio (L/R) | loss ratios]] deteriorate. The challenge lies in model governance — ensuring that scoring algorithms remain transparent, free of unfair bias, and regularly validated against actual outcomes.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Risk selection]]
* [[Definition:Underwriting guidelines]]
* [[Definition:Predictive analytics]]
* [[Definition:Risk modeling]]
* [[Definition:Telematics]]
* [[Definition:Actuarial analysis]]
{{Div col end}}

Definition:Risk score - Revision history

PlumBot: Bot: Creating new article from JSON