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	<title>Definition:Actuarial science - Revision history</title>
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	<updated>2026-04-29T21:18:36Z</updated>
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		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;🎓 &amp;#039;&amp;#039;&amp;#039;Actuarial science&amp;#039;&amp;#039;&amp;#039; is the formal academic and professional discipline concerned with measuring, modeling, and managing [[Definition:Risk | risk]] through mathematics, statistics, and financial theory. Its roots stretch back centuries to the earliest [[Definition:Life insurance | life insurance]] and [[Definition:Annuity | annuity]] calculations, but the field today spans [[Definition:Property and casualty insurance | property and casualty]], [[Definition:Health insurance | health]], [[Definition:Pension | pension]] systems, [[Definition:Enterprise risk management (ERM) | enterprise risk management]], and an expanding frontier of data-driven applications.&lt;br /&gt;
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📐 Practitioners study probability theory, survival models, [[Definition:Stochastic process | stochastic processes]], regression analysis, and financial mathematics, then apply those tools to real-world problems such as [[Definition:Premium | premium]] determination, [[Definition:Claim reserve | reserve]] estimation, and [[Definition:Solvency | solvency]] testing. Professional credentialing — through bodies like the Society of Actuaries, the Casualty Actuarial Society, or the Institute and Faculty of Actuaries — requires passing a rigorous sequence of examinations and meeting experience requirements. This credentialing framework ensures that the individuals signing off on an [[Definition:Insurance carrier | insurer&amp;#039;s]] financial assumptions meet a recognized standard of competence.&lt;br /&gt;
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🌐 The discipline&amp;#039;s influence extends well beyond traditional [[Definition:Insurance | insurance]]. [[Definition:Actuary | Actuaries]] now work in climate risk assessment, [[Definition:Cyber insurance | cyber risk]] quantification, [[Definition:Social insurance | social insurance]] policy design, and [[Definition:Insurtech | insurtech]] product development. As computational power and data availability have surged, actuarial science has increasingly incorporated [[Definition:Machine learning | machine learning]] and [[Definition:Predictive analytics | predictive analytics]], broadening its toolkit while retaining the rigorous emphasis on model validation and professional accountability that distinguishes it from purely tech-driven approaches.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Actuary]]&lt;br /&gt;
* [[Definition:Actuarial analysis]]&lt;br /&gt;
* [[Definition:Predictive analytics]]&lt;br /&gt;
* [[Definition:Enterprise risk management (ERM)]]&lt;br /&gt;
* [[Definition:Loss reserving]]&lt;br /&gt;
* [[Definition:Catastrophe modeling]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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