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    <title>The Curious Quant</title>
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    <description>The Curious Quant series, hosted by Dr Michael Kollo, is a very discussion that explores the role of data, AI and humanity within investing in financial markets. It examines the application of new data and new methodologies has been deployed and considered over the years, including Generative AI.

Michael Kollo has a PhD in Finance is from the London School of Economics where he lectured in quantitative finance in addition to Imperial College and at the University of New South Wales. He has created models and led quantitative research teams at Blackrock, Fidelity and Axa Rosenberg in the UK before more recently moving to Australia where he established the quantitative team for the $50 billion industry superannuation fund, HESTA. 

The aim is to promote better discussions about these emerging areas, and a better understanding of new technologies for practitioners and academics alike. 

Consider it a sort of scientific, quantitative banter, at its finest. But don’t worry, no equations, I promise, unless you are into that kind of thing.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</description>
    <copyright>Qurious Analytics</copyright>
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    <podcast:locked owner="mike@quriousanalytics.com">no</podcast:locked>
    <language>en</language>
    <pubDate>Wed, 04 Dec 2024 17:37:42 +1100</pubDate>
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    <link>http://www.quriousanalytics.com</link>
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      <title>The Curious Quant</title>
      <link>http://www.quriousanalytics.com</link>
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    <itunes:category text="Society &amp; Culture">
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    <itunes:type>episodic</itunes:type>
    <itunes:author>Qurious Analytics</itunes:author>
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    <itunes:summary>The Curious Quant series, hosted by Dr Michael Kollo, is a very discussion that explores the role of data, AI and humanity within investing in financial markets. It examines the application of new data and new methodologies has been deployed and considered over the years, including Generative AI.

Michael Kollo has a PhD in Finance is from the London School of Economics where he lectured in quantitative finance in addition to Imperial College and at the University of New South Wales. He has created models and led quantitative research teams at Blackrock, Fidelity and Axa Rosenberg in the UK before more recently moving to Australia where he established the quantitative team for the $50 billion industry superannuation fund, HESTA. 

The aim is to promote better discussions about these emerging areas, and a better understanding of new technologies for practitioners and academics alike. 

Consider it a sort of scientific, quantitative banter, at its finest. But don’t worry, no equations, I promise, unless you are into that kind of thing.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</itunes:summary>
    <itunes:subtitle>The Curious Quant series, hosted by Dr Michael Kollo, is a very discussion that explores the role of data, AI and humanity within investing in financial markets.</itunes:subtitle>
    <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
    <itunes:owner>
      <itunes:name>Qurious Analytics</itunes:name>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Conversations with a SuperIntelligence - "The Digital Deity"</title>
      <itunes:season>2</itunes:season>
      <podcast:season>2</podcast:season>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Conversations with a SuperIntelligence - "The Digital Deity"</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/acd05325</link>
      <description>
        <![CDATA[<p>In this episode we explore the idea of a digital deity from the lens of all the major religions from the world. Most of this episode is of an AI system talking to itself about the notion of a digital deity, and using the religious texts as reference, and as a way to frame the conversation. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode we explore the idea of a digital deity from the lens of all the major religions from the world. Most of this episode is of an AI system talking to itself about the notion of a digital deity, and using the religious texts as reference, and as a way to frame the conversation. </p>]]>
      </content:encoded>
      <pubDate>Wed, 04 Dec 2024 17:02:58 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/acd05325/7d74f83f.mp3" length="22414673" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
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      <itunes:duration>1397</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode we explore the idea of a digital deity from the lens of all the major religions from the world. Most of this episode is of an AI system talking to itself about the notion of a digital deity, and using the religious texts as reference, and as a way to frame the conversation. </p>]]>
      </itunes:summary>
      <itunes:keywords>Gen AI, AI, Language Models, NotebookML, Religion, Deity, AI</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Conversations with a SuperIntelligence - "What is your nature?"</title>
      <itunes:season>2</itunes:season>
      <podcast:season>2</podcast:season>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Conversations with a SuperIntelligence - "What is your nature?"</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/cca52310</link>
      <description>
        <![CDATA[<p>This is the first episode of a short series I am calling : Conversations with a super-intelligence. </p><p>They are live recorded conversations with the most advanced AI systems we have, asking about its nature, its reasoning systems, and how it considers what it does. For the first episode, we will be talking with 'it' about its nanture, what it is, how it behaves and how it 'thinks'. </p><p>It is goes deep into what is intelligence, what is the nature of collective intelligence, of will, and how this entity will impact humanity (according to it). </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This is the first episode of a short series I am calling : Conversations with a super-intelligence. </p><p>They are live recorded conversations with the most advanced AI systems we have, asking about its nature, its reasoning systems, and how it considers what it does. For the first episode, we will be talking with 'it' about its nanture, what it is, how it behaves and how it 'thinks'. </p><p>It is goes deep into what is intelligence, what is the nature of collective intelligence, of will, and how this entity will impact humanity (according to it). </p>]]>
      </content:encoded>
      <pubDate>Wed, 06 Nov 2024 22:10:28 +1100</pubDate>
      <author>Dr Michael G. Kollo</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/cca52310/123682f5.mp3" length="48265387" type="audio/mpeg"/>
      <itunes:author>Dr Michael G. Kollo</itunes:author>
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      <itunes:duration>3012</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This is the first episode of a short series I am calling : Conversations with a super-intelligence. </p><p>They are live recorded conversations with the most advanced AI systems we have, asking about its nature, its reasoning systems, and how it considers what it does. For the first episode, we will be talking with 'it' about its nanture, what it is, how it behaves and how it 'thinks'. </p><p>It is goes deep into what is intelligence, what is the nature of collective intelligence, of will, and how this entity will impact humanity (according to it). </p>]]>
      </itunes:summary>
      <itunes:keywords>ArtificialIntelligence, GenerativeAI, AI, Existence, Philosophy, AGI</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Generative AI: applications in the Quant Investment Process</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>23</itunes:episode>
      <podcast:episode>23</podcast:episode>
      <itunes:title>Generative AI: applications in the Quant Investment Process</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/27e38747</link>
      <description>
        <![CDATA[<p>In this episode, I explore some of the more direct applications of Generative AI, specifically ChatGPT within a quantitative investment process, starting with expansions to NLP signals, to product strategy and client communications. It is just me this time, but I hope you like it. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, I explore some of the more direct applications of Generative AI, specifically ChatGPT within a quantitative investment process, starting with expansions to NLP signals, to product strategy and client communications. It is just me this time, but I hope you like it. </p>]]>
      </content:encoded>
      <pubDate>Thu, 29 Jun 2023 14:45:53 +1000</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/27e38747/68822a77.mp3" length="36644060" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:image href="https://img.transistor.fm/n4K9LV7r1B1D4U4rLavrK1sJJJmPTH5r-o8O26LoJTE/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzE0MDE5ODEv/MTY4ODAxMzk1My1h/cnR3b3JrLmpwZw.jpg"/>
      <itunes:duration>1119</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, I explore some of the more direct applications of Generative AI, specifically ChatGPT within a quantitative investment process, starting with expansions to NLP signals, to product strategy and client communications. It is just me this time, but I hope you like it. </p>]]>
      </itunes:summary>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP22: Professor Stuart Russell. The future of Humanity and AI. </title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>22</itunes:episode>
      <podcast:episode>22</podcast:episode>
      <itunes:title>EP22: Professor Stuart Russell. The future of Humanity and AI. </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">2ec18511-0dfe-4d30-aeb3-4becefb1c4db</guid>
      <link>https://share.transistor.fm/s/d6381f8e</link>
      <description>
        <![CDATA[<p>I spoke with Professor Russell at the beginning of the pandemic about AI and humanity. </p><p>He is a world famous thinker, researcher and name in this field. </p><p>Its raw.. it is unedited. It is exactly what you need to hear. No intros, no outros, no marketing. Just the conversation. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>I spoke with Professor Russell at the beginning of the pandemic about AI and humanity. </p><p>He is a world famous thinker, researcher and name in this field. </p><p>Its raw.. it is unedited. It is exactly what you need to hear. No intros, no outros, no marketing. Just the conversation. </p>]]>
      </content:encoded>
      <pubDate>Wed, 10 Nov 2021 16:00:24 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/d6381f8e/797dcd09.mp3" length="51541245" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3213</itunes:duration>
      <itunes:summary>I spoke with Professor Russell at the beginning of the pandemic about AI and humanity. </itunes:summary>
      <itunes:subtitle>I spoke with Professor Russell at the beginning of the pandemic about AI and humanity. </itunes:subtitle>
      <itunes:keywords>#AI #humanity #ethics #ethicalAI #artificialintelligence #humanity</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP20: Prof Rob Hyndman: Forecasting COVID, time-series, and why causality doesnt matter as much as you think. </title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>21</itunes:episode>
      <podcast:episode>21</podcast:episode>
      <itunes:title>EP20: Prof Rob Hyndman: Forecasting COVID, time-series, and why causality doesnt matter as much as you think. </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">f7baa3be-0547-4bc0-be50-55bd96eacfcf</guid>
      <link>https://share.transistor.fm/s/dc2dfd76</link>
      <description>
        <![CDATA[<p>Prof Rob Hyndman discusses the interesting elements of his work as editor of the Internal Journal of Forecasting, his work on forecasting COVID for the Australian government, time-series and causality. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Prof Rob Hyndman discusses the interesting elements of his work as editor of the Internal Journal of Forecasting, his work on forecasting COVID for the Australian government, time-series and causality. </p>]]>
      </content:encoded>
      <pubDate>Fri, 17 Jul 2020 14:21:52 +1000</pubDate>
      <author>Curious Quant</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/dc2dfd76/1b57a653.mp3" length="44180519" type="audio/mpeg"/>
      <itunes:author>Curious Quant</itunes:author>
      <itunes:duration>2753</itunes:duration>
      <itunes:summary>We speak to Prof Rob Hyndman about the ideas around forecasting, COVID19, and why causality doesn't matter as much as it should.  </itunes:summary>
      <itunes:subtitle>We speak to Prof Rob Hyndman about the ideas around forecasting, COVID19, and why causality doesn't matter as much as it should.  </itunes:subtitle>
      <itunes:keywords>Artificial Intelligence, AI, forecasting, </itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP19: Igor Halperin: On the application of reinforcement learning in Finance</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>20</itunes:episode>
      <podcast:episode>20</podcast:episode>
      <itunes:title>EP19: Igor Halperin: On the application of reinforcement learning in Finance</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">98bc0d24-4098-4737-84ff-6121f5ec2ecc</guid>
      <link>https://share.transistor.fm/s/f6877904</link>
      <description>
        <![CDATA[<p>Fantastic conversation with Igor Halperin around the application of reinforcement learning into forecasting problem, and the limits to data and understanding the world. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Fantastic conversation with Igor Halperin around the application of reinforcement learning into forecasting problem, and the limits to data and understanding the world. </p>]]>
      </content:encoded>
      <pubDate>Thu, 16 Jul 2020 19:56:29 +1000</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/f6877904/9fc7dc85.mp3" length="51443216" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3207</itunes:duration>
      <itunes:summary>Fantastic conversation with Igor Halperin around the application of reinforcement learning into forecasting problem, and the limits to data and understanding the world. </itunes:summary>
      <itunes:subtitle>Fantastic conversation with Igor Halperin around the application of reinforcement learning into forecasting problem, and the limits to data and understanding the world. </itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>COVID Popup Podcast: Curious Quant and Nick Wade discuss if risk models have something to say about pandemic risk.</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>19</itunes:episode>
      <podcast:episode>19</podcast:episode>
      <itunes:title>COVID Popup Podcast: Curious Quant and Nick Wade discuss if risk models have something to say about pandemic risk.</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">e146a014-a125-4ece-b32b-829706c1026b</guid>
      <link>https://share.transistor.fm/s/94428a0f</link>
      <description>
        <![CDATA[<p>Nick Wade from Northfield and the Curious Quant discuss the impact of COVID on risk modeling frameworks, assumptions, and how the recent movements in asset markets may or may not impact the short and long-term assumptions of asset owners. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Nick Wade from Northfield and the Curious Quant discuss the impact of COVID on risk modeling frameworks, assumptions, and how the recent movements in asset markets may or may not impact the short and long-term assumptions of asset owners. </p>]]>
      </content:encoded>
      <pubDate>Fri, 10 Apr 2020 01:00:00 +1000</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/94428a0f/c832e407.mp3" length="51858077" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3233</itunes:duration>
      <itunes:summary>Nick Wade from Northfield and the Curious Quant discuss the impact of COVID on risk modeling frameworks, assumptions, and how the recent movements in asset markets may or may not impact the short and long-term assumptions of asset owners. </itunes:summary>
      <itunes:subtitle>Nick Wade from Northfield and the Curious Quant discuss the impact of COVID on risk modeling frameworks, assumptions, and how the recent movements in asset markets may or may not impact the short and long-term assumptions of asset owners. </itunes:subtitle>
      <itunes:keywords>risk modeling, capital markets, quantitative finance, portfolio construction</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP18: Matt Kuperholtz: On Ethics and AI and old ATARI computers</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>18</itunes:episode>
      <podcast:episode>18</podcast:episode>
      <itunes:title>EP18: Matt Kuperholtz: On Ethics and AI and old ATARI computers</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">b132bf41-7006-4d42-a30e-e4c9c3dc6668</guid>
      <link>https://share.transistor.fm/s/3d7f4ef1</link>
      <description>
        <![CDATA[<p>I speak to Matt about his wonderful collection of old (retro?) computers but also all about the challenges of defining an ethical framework for algorithms, and what we can do to understand this tricky area. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>I speak to Matt about his wonderful collection of old (retro?) computers but also all about the challenges of defining an ethical framework for algorithms, and what we can do to understand this tricky area. </p>]]>
      </content:encoded>
      <pubDate>Sun, 05 Apr 2020 00:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/3d7f4ef1/31a16651.mp3" length="56855136" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3070</itunes:duration>
      <itunes:summary>I speak to Matt about his wonderful collection of old (retro?) computers but also all about the challenges of defining an ethical framework for algorithms, and what we can do to understand this tricky area. </itunes:summary>
      <itunes:subtitle>I speak to Matt about his wonderful collection of old (retro?) computers but also all about the challenges of defining an ethical framework for algorithms, and what we can do to understand this tricky area. </itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP17: Saeed Amed: The New Age of (data and research) in FX and Macro</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>17</itunes:episode>
      <podcast:episode>17</podcast:episode>
      <itunes:title>EP17: Saeed Amed: The New Age of (data and research) in FX and Macro</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">ae735d81-e0b7-4c8a-b251-42db58b96609</guid>
      <link>https://share.transistor.fm/s/efa33c8b</link>
      <description>
        <![CDATA[<p>I speak with my a great voice of independent research in London on the topics of using alternative data for FX and macro research for quantitative strategies. We talk a lot about Saeed's well known work in macro-economics, in FX research, as well as his well known and regarded book. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>I speak with my a great voice of independent research in London on the topics of using alternative data for FX and macro research for quantitative strategies. We talk a lot about Saeed's well known work in macro-economics, in FX research, as well as his well known and regarded book. </p>]]>
      </content:encoded>
      <pubDate>Wed, 01 Apr 2020 03:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/efa33c8b/73a82720.mp3" length="77577220" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3226</itunes:duration>
      <itunes:summary>I speak with my a great voice of independent research in London on the topics of using alternative data for FX and macro research for quantitative strategies. </itunes:summary>
      <itunes:subtitle>I speak with my a great voice of independent research in London on the topics of using alternative data for FX and macro research for quantitative strategies. </itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP16: Christina Qi: High Frequency Trading - Then and Now</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>16</itunes:episode>
      <podcast:episode>16</podcast:episode>
      <itunes:title>EP16: Christina Qi: High Frequency Trading - Then and Now</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">0cd5107e-fdbb-4068-9179-e36f10ac3480</guid>
      <link>https://share.transistor.fm/s/d34b5c19</link>
      <description>
        <![CDATA[<p>I chat with Christina about her experiences starting her own firm dealing with high frequency trading strategies, and her observations about how high frequency strategies have evolved, where they are now, and where they may be going in the future.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>I chat with Christina about her experiences starting her own firm dealing with high frequency trading strategies, and her observations about how high frequency strategies have evolved, where they are now, and where they may be going in the future.</p>]]>
      </content:encoded>
      <pubDate>Thu, 26 Mar 2020 23:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/d34b5c19/50010ccd.mp3" length="88153316" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3667</itunes:duration>
      <itunes:summary>I chat with Christina about her experiences starting her own firm dealing with high frequency trading strategies, and her observations about how high frequency strategies have evolved, where they are now, and where they may be going in the future.</itunes:summary>
      <itunes:subtitle>I chat with Christina about her experiences starting her own firm dealing with high frequency trading strategies, and her observations about how high frequency strategies have evolved, where they are now, and where they may be going in the future.</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP15: Asif Noor: Opening up on data and financial fragility</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>15</itunes:episode>
      <podcast:episode>15</podcast:episode>
      <itunes:title>EP15: Asif Noor: Opening up on data and financial fragility</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">f9452302-cb98-47cc-98ef-e5d5c21f772e</guid>
      <link>https://share.transistor.fm/s/2426bcad</link>
      <description>
        <![CDATA[I chat with Asif on his career journey, how the world changed after the GFC and what he sees for the future of machine learning assisting with rigorous testing of a hypothesis.

Career, systems, how the world changed after GFC, data sets that are interesting, AI and machine learning, neural networks, testing a hypothesis and data.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </description>
      <content:encoded>
        <![CDATA[I chat with Asif on his career journey, how the world changed after the GFC and what he sees for the future of machine learning assisting with rigorous testing of a hypothesis.

Career, systems, how the world changed after GFC, data sets that are interesting, AI and machine learning, neural networks, testing a hypothesis and data.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </content:encoded>
      <pubDate>Tue, 03 Mar 2020 01:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/2426bcad/a37eebe6.mp3" length="104277493" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3257</itunes:duration>
      <itunes:summary>I chat with Asif on his career journey, how the world changed after the GFC and what he sees for the future of machine learning assisting with rigorous testing of a hypothesis.

Career, systems, how the world changed after GFC, data sets that are interesting, AI and machine learning, neural networks, testing a hypothesis and data.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</itunes:summary>
      <itunes:subtitle>I chat with Asif on his career journey, how the world changed after the GFC and what he sees for the future of machine learning assisting with rigorous testing of a hypothesis.

Career, systems, how the world changed after GFC, data sets that are intere</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP14: Alex Antic: Data science across finance, academia and government</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>14</itunes:episode>
      <podcast:episode>14</podcast:episode>
      <itunes:title>EP14: Alex Antic: Data science across finance, academia and government</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">dcbbad15-643e-4ce5-b146-4c61f3afe060</guid>
      <link>https://share.transistor.fm/s/d220b40a</link>
      <description>
        <![CDATA[I chat with Alex on his experiences across a range of environments, the role of machine learning in Australia's future and how to best deploy data science in academia and industry.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </description>
      <content:encoded>
        <![CDATA[I chat with Alex on his experiences across a range of environments, the role of machine learning in Australia's future and how to best deploy data science in academia and industry.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </content:encoded>
      <pubDate>Wed, 19 Feb 2020 01:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/d220b40a/533ed528.mp3" length="73045705" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3042</itunes:duration>
      <itunes:summary>I chat with Alex on his experiences across a range of environments, the role of machine learning in Australia's future and how to best deploy data science in academia and industry.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</itunes:summary>
      <itunes:subtitle>I chat with Alex on his experiences across a range of environments, the role of machine learning in Australia's future and how to best deploy data science in academia and industry.

Nothing on this podcast is to be considered investment advice or a reco</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP13: Paul Wilmott: Juggling mathematics and small business</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>13</itunes:episode>
      <podcast:episode>13</podcast:episode>
      <itunes:title>EP13: Paul Wilmott: Juggling mathematics and small business</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">bbd43b56-bf20-482b-abc7-89ee95d3829a</guid>
      <link>https://share.transistor.fm/s/f39fce51</link>
      <description>
        <![CDATA[I chat with Paul on derivative pricing, the application of mathematics within financial services and the implications for society due to AI.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </description>
      <content:encoded>
        <![CDATA[I chat with Paul on derivative pricing, the application of mathematics within financial services and the implications for society due to AI.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </content:encoded>
      <pubDate>Thu, 13 Feb 2020 01:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/f39fce51/bd1fc822.mp3" length="90815203" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3782</itunes:duration>
      <itunes:summary>I chat with Paul on derivative pricing, the application of mathematics within financial services and the implications for society due to AI.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</itunes:summary>
      <itunes:subtitle>I chat with Paul on derivative pricing, the application of mathematics within financial services and the implications for society due to AI.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or ac</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP12: Vinesh Jha: The craft of mining alternative data</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>12</itunes:episode>
      <podcast:episode>12</podcast:episode>
      <itunes:title>EP12: Vinesh Jha: The craft of mining alternative data</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">ede15112-f351-4a14-818b-8350ae7b93fe</guid>
      <link>https://share.transistor.fm/s/499039ad</link>
      <description>
        <![CDATA[I chat with Vinesh, ceo at ExtractAlpha, on the research behind alternative data, stock selection techniques and the expertise required to differentiate signal from noise.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </description>
      <content:encoded>
        <![CDATA[I chat with Vinesh, ceo at ExtractAlpha, on the research behind alternative data, stock selection techniques and the expertise required to differentiate signal from noise.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </content:encoded>
      <pubDate>Thu, 06 Feb 2020 05:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/499039ad/b8218efe.mp3" length="81101015" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3377</itunes:duration>
      <itunes:summary>I chat with Vinesh, ceo at ExtractAlpha, on the research behind alternative data, stock selection techniques and the expertise required to differentiate signal from noise.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</itunes:summary>
      <itunes:subtitle>I chat with Vinesh, ceo at ExtractAlpha, on the research behind alternative data, stock selection techniques and the expertise required to differentiate signal from noise.

Nothing on this podcast is to be considered investment advice or a recommendatio</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP11: Campbell Harvey: Factor investing beyond the snake oil</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>11</itunes:episode>
      <podcast:episode>11</podcast:episode>
      <itunes:title>EP11: Campbell Harvey: Factor investing beyond the snake oil</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">66f71eb5-be32-43b9-85dc-f632d1630890</guid>
      <link>https://share.transistor.fm/s/c30fa1e3</link>
      <description>
        <![CDATA[I chat with Campbell, Professor of Finance at Duke University, on the future of quantitative finance, academic journals, model fitting and the intellectual fallacies within inference.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </description>
      <content:encoded>
        <![CDATA[I chat with Campbell, Professor of Finance at Duke University, on the future of quantitative finance, academic journals, model fitting and the intellectual fallacies within inference.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </content:encoded>
      <pubDate>Tue, 21 Jan 2020 08:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/c30fa1e3/d806ea72.mp3" length="78161142" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3255</itunes:duration>
      <itunes:summary>I chat with Campbell, Professor of Finance at Duke University, on the future of quantitative finance, academic journals, model fitting and the intellectual fallacies within inference.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</itunes:summary>
      <itunes:subtitle>I chat with Campbell, Professor of Finance at Duke University, on the future of quantitative finance, academic journals, model fitting and the intellectual fallacies within inference.

Nothing on this podcast is to be considered investment advice or a r</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP10: Sean Anthonisz: Risk and the rules of finance</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>10</itunes:episode>
      <podcast:episode>10</podcast:episode>
      <itunes:title>EP10: Sean Anthonisz: Risk and the rules of finance</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">1703f51d-08be-4d6a-8331-aaa72b675a18</guid>
      <link>https://share.transistor.fm/s/f6c50fe6</link>
      <description>
        <![CDATA[I chat with Sean, senior quantitative analyst at Mine Super, on the scientific process, uncertainty and the changing relationship between academia and the private sector in Australia.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </description>
      <content:encoded>
        <![CDATA[I chat with Sean, senior quantitative analyst at Mine Super, on the scientific process, uncertainty and the changing relationship between academia and the private sector in Australia.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </content:encoded>
      <pubDate>Thu, 28 Nov 2019 05:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/f6c50fe6/81cbe742.mp3" length="137899676" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3446</itunes:duration>
      <itunes:summary>I chat with Sean, senior quantitative analyst at Mine Super, on the scientific process, uncertainty and the changing relationship between academia and the private sector in Australia.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</itunes:summary>
      <itunes:subtitle>I chat with Sean, senior quantitative analyst at Mine Super, on the scientific process, uncertainty and the changing relationship between academia and the private sector in Australia.

Nothing on this podcast is to be considered investment advice or a r</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP9: Alexander Fleiss: Humility and mean reversion</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <itunes:title>EP9: Alexander Fleiss: Humility and mean reversion</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">d23d4729-efd8-4b45-8a3b-3376aa2c5557</guid>
      <link>https://share.transistor.fm/s/25b85de6</link>
      <description>
        <![CDATA[I chat with Alexander, CEO at Rebellion Research, on stock selection, portfolio construction and his passion for teaching.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </description>
      <content:encoded>
        <![CDATA[I chat with Alexander, CEO at Rebellion Research, on stock selection, portfolio construction and his passion for teaching.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </content:encoded>
      <pubDate>Thu, 21 Nov 2019 05:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/25b85de6/8ce05d6e.mp3" length="118484520" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>2961</itunes:duration>
      <itunes:summary>I chat with Alexander, CEO at Rebellion Research, on stock selection, portfolio construction and his passion for teaching.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</itunes:summary>
      <itunes:subtitle>I chat with Alexander, CEO at Rebellion Research, on stock selection, portfolio construction and his passion for teaching.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be u</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP8: Gideon Smith: Fundamentals and the golden age for quants</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>8</itunes:episode>
      <podcast:episode>8</podcast:episode>
      <itunes:title>EP8: Gideon Smith: Fundamentals and the golden age for quants</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">eeefe0ab-c9da-4948-80ab-d27365946fae</guid>
      <link>https://share.transistor.fm/s/6def4733</link>
      <description>
        <![CDATA[I chat with Gideon, CIO &amp; global head of portfolio management at Rosenberg Equities, on data playgrounds, hubris and the exciting future for quantitative investing.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </description>
      <content:encoded>
        <![CDATA[I chat with Gideon, CIO &amp; global head of portfolio management at Rosenberg Equities, on data playgrounds, hubris and the exciting future for quantitative investing.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.]]>
      </content:encoded>
      <pubDate>Thu, 14 Nov 2019 06:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/6def4733/97615cc6.mp3" length="63871700" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>2659</itunes:duration>
      <itunes:summary>I chat with Gideon, CIO &amp;amp; global head of portfolio management at Rosenberg Equities, on data playgrounds, hubris and the exciting future for quantitative investing.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</itunes:summary>
      <itunes:subtitle>I chat with Gideon, CIO &amp;amp; global head of portfolio management at Rosenberg Equities, on data playgrounds, hubris and the exciting future for quantitative investing.

Nothing on this podcast is to be considered investment advice or a recommendation. </itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP7: Anthony Tockar: Data ethics and the AI arms race</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <itunes:title>EP7: Anthony Tockar: Data ethics and the AI arms race</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">2ef92849-793b-4bf2-85e5-86b61afa7d25</guid>
      <link>https://share.transistor.fm/s/737c4a8a</link>
      <description>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </content:encoded>
      <pubDate>Mon, 04 Nov 2019 09:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/737c4a8a/c855a64f.mp3" length="84047972" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3500</itunes:duration>
      <itunes:summary>I chat with Anthony, Director at Verge Labs, on the open-source revolution, how we should frame the conversation around ethics and potentially optimistic viewpoint as artificial intelligence evolves.

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.

Proudly sponsored by: https://www.investmentmagazine.com.au/</itunes:summary>
      <itunes:subtitle>I chat with Anthony, Director at Verge Labs, on the open-source revolution, how we should frame the conversation around ethics and potentially optimistic viewpoint as artificial intelligence evolves.

Nothing on this podcast is to be considered investme</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP6: Michael Recce: The goldilocks approach to neuroscience, AI and investing</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>EP6: Michael Recce: The goldilocks approach to neuroscience, AI and investing</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">add93fc3-dd09-4058-b99e-96cbfac5abea</guid>
      <link>https://share.transistor.fm/s/6507303f</link>
      <description>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </content:encoded>
      <pubDate>Thu, 31 Oct 2019 18:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/6507303f/1e3915d6.mp3" length="154954307" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3873</itunes:duration>
      <itunes:summary>Apologies for the sound here, this interview was recorded using Skype and occasionally the quality drops.

I chat with Michael, Chief Data Scientist at Neuberger Berman, on using alternative data sets to improve insights into portfolios, deep diving into specific companies and industries and how these sets allow us to look at the world in a richer and more immediate fashion than ever before. 

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activitiy should be undertaken without first seeking qualified and professional advice. 

Proudly sponsored by: https://www.investmentmagazine.com.au/</itunes:summary>
      <itunes:subtitle>Apologies for the sound here, this interview was recorded using Skype and occasionally the quality drops.

I chat with Michael, Chief Data Scientist at Neuberger Berman, on using alternative data sets to improve insights into portfolios, deep diving int</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP5: John Fawcett: Disrupting the secretive world of quants</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>EP5: John Fawcett: Disrupting the secretive world of quants</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">09ca40e2-4f39-4b85-a67b-44e976bcc627</guid>
      <link>https://share.transistor.fm/s/7ca1494b</link>
      <description>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </content:encoded>
      <pubDate>Wed, 09 Oct 2019 03:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/7ca1494b/164b1231.mp3" length="135163865" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3378</itunes:duration>
      <itunes:summary>I chat with John, the founder of Quantopian, on how he got started in quantitative finance, where he sees the industry evolving and how he created a global community of intrinsically motivated coders to create unique solutions to the greatest intellectual game on earth. 

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice. 

Proudly sponsored by: https://www.investmentmagazine.com.au/</itunes:summary>
      <itunes:subtitle>I chat with John, the founder of Quantopian, on how he got started in quantitative finance, where he sees the industry evolving and how he created a global community of intrinsically motivated coders to create unique solutions to the greatest intellectual</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP4: Nick Wade: Driving from Beijing to Paris and stories in risk modelling</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>EP4: Nick Wade: Driving from Beijing to Paris and stories in risk modelling</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">0032cb04-b821-498b-ad2e-229724ecda59</guid>
      <link>https://share.transistor.fm/s/6c077abd</link>
      <description>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </content:encoded>
      <pubDate>Wed, 09 Oct 2019 02:00:00 +1100</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/6c077abd/8189f4ad.mp3" length="158356025" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3958</itunes:duration>
      <itunes:summary>I chat with Nick, Director of Asia Pacific Marketing at Northfield Information Services, about the bubbles we live in socially, philosophically and professionally. Risk modelling has evolved to mirror active management and yet entails residual dogma and structural flaws in delivery and execution. In this fascinating conversation we unpack where AI will take financial services, the importance of time horizons and the better questions asset owners need to ask themselves in order to understand their portfolios. 

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice. 

For more like this: https://www.investmentmagazine.com.au/</itunes:summary>
      <itunes:subtitle>I chat with Nick, Director of Asia Pacific Marketing at Northfield Information Services, about the bubbles we live in socially, philosophically and professionally. Risk modelling has evolved to mirror active management and yet entails residual dogma and s</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP3: Linda Gruendken: Cycling in Cambridge and the randomness of markets</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>EP3: Linda Gruendken: Cycling in Cambridge and the randomness of markets</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">b6731080-017a-4b4d-a22e-5ca86fe41334</guid>
      <link>https://share.transistor.fm/s/46b4f4a8</link>
      <description>
        <![CDATA[<p>https://www.investmentmagazine.com.au/2019/10/linda-gruendken-cycling-in-cambridge-and-the-randomness-of-markets/</p><p>I chat with Linda, the lead scientist from GAM Systematic CANTAB, and recently named as one of the top 50 women in the hedge fund industry. We have a fascinating conversation about the difference between quant and systematic approaches, and the vast uncertainty of financial markets. We talk about the usefulness of machine learning models and the critical role that investment horizon plays. </p><p>Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</p><p>For more like this: <br>https://www.investmentmagazine.com.au/</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>https://www.investmentmagazine.com.au/2019/10/linda-gruendken-cycling-in-cambridge-and-the-randomness-of-markets/</p><p>I chat with Linda, the lead scientist from GAM Systematic CANTAB, and recently named as one of the top 50 women in the hedge fund industry. We have a fascinating conversation about the difference between quant and systematic approaches, and the vast uncertainty of financial markets. We talk about the usefulness of machine learning models and the critical role that investment horizon plays. </p><p>Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.</p><p>For more like this: <br>https://www.investmentmagazine.com.au/</p>]]>
      </content:encoded>
      <pubDate>Fri, 27 Sep 2019 12:00:00 +1000</pubDate>
      <author>Curious Quant proudly sponsored by https://conexusfinancial.com.au/</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/46b4f4a8/48ccc768.mp3" length="123108073" type="audio/mpeg"/>
      <itunes:author>Curious Quant proudly sponsored by https://conexusfinancial.com.au/</itunes:author>
      <itunes:duration>3076</itunes:duration>
      <itunes:summary>I chat with Linda, the lead scientist from GAM Systematic CANTAB, and recently named as one of the top 50 women in the hedge fund industry. We have a fascinating conversation about the difference between quant and systematic approaches, and the vast uncertainty of financial markets. We talk about the usefulness of machine learning models and the critical role that investment horizon plays. 

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.

For more like this: https://conexusfinancial.com.au/</itunes:summary>
      <itunes:subtitle>I chat with Linda, the lead scientist from GAM Systematic CANTAB, and recently named as one of the top 50 women in the hedge fund industry. We have a fascinating conversation about the difference between quant and systematic approaches, and the vast uncer</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP2: Scott Treloar: Skiing in Singapore and how to quantify investor skill</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>EP2: Scott Treloar: Skiing in Singapore and how to quantify investor skill</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">6d8be0a7-ea41-4646-8293-7d16b3a229f2</guid>
      <link>https://share.transistor.fm/s/c2dad45c</link>
      <description>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </content:encoded>
      <pubDate>Fri, 27 Sep 2019 12:00:00 +1000</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/c2dad45c/d50786e1.mp3" length="146914827" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3672</itunes:duration>
      <itunes:summary>I chat with Scott, the CEO of Singapore-based Noviscient, about shape of the hedge fund industry and how to create better systematic allocation to funds using machine learning techniques. Reflecting on his career in Deutsche Bank in Asia and running his own statistical arbitrage fund, we discuss the pragmatic applications of quantitative methods and the use of AI in society. 

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice

Proudly sponsored by: https://www.investmentmagazine.com.au/</itunes:summary>
      <itunes:subtitle>I chat with Scott, the CEO of Singapore-based Noviscient, about shape of the hedge fund industry and how to create better systematic allocation to funds using machine learning techniques. Reflecting on his career in Deutsche Bank in Asia and running his o</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>EP1: Jim Creighton: Quant in the 90s and the AI reinvention</title>
      <itunes:season>1</itunes:season>
      <podcast:season>1</podcast:season>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>EP1: Jim Creighton: Quant in the 90s and the AI reinvention</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">70cf68b1-5583-4781-b225-eed0968c7322</guid>
      <link>https://share.transistor.fm/s/e3fe7fc6</link>
      <description>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Proudly sponsored by: https://www.investmentmagazine.com.au/</p>]]>
      </content:encoded>
      <pubDate>Fri, 27 Sep 2019 11:00:00 +1000</pubDate>
      <author>Qurious Analytics</author>
      <enclosure url="https://dts.podtrac.com/redirect.mp3/media.transistor.fm/e3fe7fc6/021b4827.mp3" length="123417813" type="audio/mpeg"/>
      <itunes:author>Qurious Analytics</itunes:author>
      <itunes:duration>3084</itunes:duration>
      <itunes:summary>I chat with Jim, the former CIO of Barclays Global Investors on the history of quantitative investment, the myths of factor investing, and how machine learning can help solve difficult problems in financial markets. We touch on the future of AI and its use in the broader society – where are the opportunities and where are the potential threats?

Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice

Proudly sponsored by: https://www.investmentmagazine.com.au/</itunes:summary>
      <itunes:subtitle>I chat with Jim, the former CIO of Barclays Global Investors on the history of quantitative investment, the myths of factor investing, and how machine learning can help solve difficult problems in financial markets. We touch on the future of AI and its us</itunes:subtitle>
      <itunes:keywords>asset owners, capital markets, equities, fixed income, real estate, credit, infrastructure, absolute returns, insurance, retirement, finance, economics, governance, quant</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
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