<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model Risk Management on Actuarial Ninja</title><link>https://www.actuarialninja.com/tags/model-risk-management/</link><description>Recent content in Model Risk Management on Actuarial Ninja</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 28 Apr 2025 05:53:13 +0000</lastBuildDate><atom:link href="https://www.actuarialninja.com/tags/model-risk-management/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Become an AI-Powered Actuarial Model Validator: 5 Steps to Bridge Technical and Regulatory Skills</title><link>https://www.actuarialninja.com/tutorials/how-to-become-an-ai-powered-actuarial-model-validator-5-steps-to-bridge-technical-and-regulatory-skills/</link><pubDate>Mon, 28 Apr 2025 05:53:13 +0000</pubDate><guid>https://www.actuarialninja.com/tutorials/how-to-become-an-ai-powered-actuarial-model-validator-5-steps-to-bridge-technical-and-regulatory-skills/</guid><description>&lt;p&gt;Becoming an AI-powered actuarial model validator is a career path that combines technical expertise with regulatory acumen, offering a unique blend of challenge and reward. In a field where data-driven decisions are paramount, the ability to validate complex models is crucial for ensuring accuracy, compliance, and efficiency. This role requires a deep understanding of actuarial models, regulatory standards, and the latest technologies like artificial intelligence (AI). As we explore how to embark on this journey, we&amp;rsquo;ll highlight five key steps that will help bridge the gap between technical and regulatory skills.&lt;/p&gt;</description></item></channel></rss>