<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Quantitative Finance | Joey O'Brien</title><link>https://obrienjoey.github.io/tags/quantitative-finance/</link><atom:link href="https://obrienjoey.github.io/tags/quantitative-finance/index.xml" rel="self" type="application/rss+xml"/><description>Quantitative Finance</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>© 2026 Joey O'Brien</copyright><lastBuildDate>Sun, 05 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://obrienjoey.github.io/img/og-banner.png</url><title>Quantitative Finance</title><link>https://obrienjoey.github.io/tags/quantitative-finance/</link></image><item><title>LSEG Ahead of the Curve Podcast: Agentic AI in Quantitative Risk Management</title><link>https://obrienjoey.github.io/talk/20260705_podcast_agentic_ai/</link><pubDate>Sun, 05 Jul 2026 00:00:00 +0000</pubDate><guid>https://obrienjoey.github.io/talk/20260705_podcast_agentic_ai/</guid><description/></item><item><title>Speaking at LSEG Quant Summit London 2026</title><link>https://obrienjoey.github.io/post/20260511_lseg_quant_summit_london/</link><pubDate>Tue, 12 May 2026 00:00:00 +0000</pubDate><guid>https://obrienjoey.github.io/post/20260511_lseg_quant_summit_london/</guid><description>&lt;p>On May 11, 2026, I spoke at the &lt;strong>LSEG Quant Summit London 2026&lt;/strong> held in Paternoster Square, London. The event focused on the latest developments in the Open-Source Risk Engine (ORE) ecosystem.&lt;/p>
&lt;p>I presented on two key areas during the summit:&lt;/p>
&lt;ol>
&lt;li>
&lt;p>&lt;strong>ORE in the Era of Agentic AI&lt;/strong>
This presentation explored how Large Language Models (LLMs) and AI agents are transforming quantitative finance. Key topics covered included:&lt;/p>
&lt;ul>
&lt;li>The capabilities and limitations of modern LLMs in writing pricing and risk models.&lt;/li>
&lt;li>Real-world use cases of AI agents automating workflows and creating value within the ORE framework.&lt;/li>
&lt;li>The integration of the Model Context Protocol (MCP) to connect AI agents directly with specialized quantitative tools.&lt;/li>
&lt;li>LSEG&amp;rsquo;s collaborative efforts in this space, including partnerships with leading AI labs like Anthropic.&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>
&lt;p>&lt;strong>LSEG’s Internal Adoption of ORE&lt;/strong>
This talk discussed LSEG’s internal adoption, integration, and scaling of the Open-Source Risk Engine (ORE) across its post-trade services and risk management infrastructure, showcasing the practical value of open-source analytics at scale.&lt;/p>
&lt;/li>
&lt;/ol>
&lt;p>It was fantastic to connect with other quantitative researchers, developers, and risk professionals to discuss the future of open-source risk analytics, enterprise integration, and artificial intelligence.&lt;/p>
&lt;p>For more information about the summit, you can visit the &lt;a href="https://solutions.lseg.com/Quant_Summit_London_2026">LSEG Quant Summit London 2026 event page&lt;/a>.&lt;/p></description></item></channel></rss>