• The Hedgineer Podcast

  • 著者: Michael Watson
  • ポッドキャスト

The Hedgineer Podcast

著者: Michael Watson
  • サマリー

  • The Hedgineer Podcast explores the world of finance, hedge funds and prop trading by looking at the technology that is used to build it. We interview the brightest minds in industry to discuss where they see the technology in the space going and how it is shaping the industry. For anyone building a career in the industry, trying to leverage technology to get an edge, or just curious about what this crazy world of technology in investing is like, this show is for you!


    Hedgineer = Hedge Fund + Engineer


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    Hosted on Acast. See acast.com/privacy for more information.

    Michael Watson
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あらすじ・解説

The Hedgineer Podcast explores the world of finance, hedge funds and prop trading by looking at the technology that is used to build it. We interview the brightest minds in industry to discuss where they see the technology in the space going and how it is shaping the industry. For anyone building a career in the industry, trying to leverage technology to get an edge, or just curious about what this crazy world of technology in investing is like, this show is for you!


Hedgineer = Hedge Fund + Engineer


Follow On


  • Youtube
  • Instagram
  • TikTok
  • Twitter
  • Linkedin

Hosted on Acast. See acast.com/privacy for more information.

Michael Watson
エピソード
  • Revolutionizing Market Data with Christina Qi of Databento | Episode 16
    2024/12/19

    Welcome to Episode 16 of The Hedgineer Podcast! In this episode, host Michael Watson dives deep into the world of technology, data, and AI in the asset management, hedge fund, and proprietary trading space. Joining Michael is Christina Qi, the founder of Databento.


    Michael kicks off the episode by introducing Christina and discussing the disruptive impact of Databento on the real-time market data experience within the asset management hedge fund space. Christina shares her extensive background, including nearly a decade of running a hedge fund and the challenges she faced due to poor data quality and high costs.


    Christina explains the motivation behind founding Databento, driven by the need for better data solutions tailored for machine learning and AI applications in trading. She emphasizes the importance of having real-time, high-quality data delivered via API, which was previously lacking in the market.

    Throughout their conversation, Christina and Michael explore various topics, including the scalability of data vendors, the differences between working in a data vendor versus a traditional financial firm, and the challenges of managing data in the finance industry. They also discuss the evolving landscape of investors, highlighting the rise of prosumer-type data consumers who require more advanced data services than typical retail users.


    The episode also delves into the impact of community-driven platforms like Reddit and the importance of genuine content in fostering meaningful discussions. Christina shares her experiences with different online communities and the challenges of maintaining authenticity in a space often dominated by advertisements.

    Overall, this episode provides valuable insights into the intersection of technology, data, and AI in the finance industry, showcasing the innovative solutions offered by Databento and the broader trends shaping the future of asset management and trading.


    Don't miss this insightful conversation! Like, comment, and subscribe for more episodes of The Hedgineer Podcast.


    Hedgineer.io




    Hosted on Acast. See acast.com/privacy for more information.

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    29 分
  • The Future of the Alternative Data Space | Episode 15
    2024/09/02

    Data is maturing at an incredible rate. In turn, the value of data is increasing as new strategies and productization continues to evolve. In episode 15, Eagle Alpha CEO Niall Hurley, discusses the changes and developments in the alternative data space.


    Niall highlights emergence of corporates, often times b2b SASS companies, realizing new high margin revenue opportunities by monetizing their data by working with companies like Eagle Alpha to deliver unique insights to their clients. By allowing EA to take on the compliance and economic feasibility testing of bringing new data sets to market, Niall is at the tip of the spear for bringing new insights into the market place faster and helping make better capital allocation decisions.


    Historically new data sets are brought to market by an entire entity whose business model is to resell data (Think 1010, Yodlee, etc, or to create new data sets as an aggregator, think Yipit, MScience, etc). It is rare for a corporate to sell direct in a b2c model. It's growing increasingly more challenging to figure out compliance, difficult to find distribution unions, and is not always a significant enough revenue opportunity to justify the resources required to execute.


    However, Niall believe change is among us his company is positioned well to act as a market place for the high managing, orthogonal revenue opportunities for corporates to monetize their data.

    Additional topics include:


    The exploration of new data categories and the continued support for data delivery and go-to-market strategies.


    Advancements made by quantitative and multi-strategy funds in utilizing alternative data, and the challenges faced by smaller funds in adopting these data sources


    The need for a robust data infrastructure and platform to effectively integrate and analyze alternative data


    Is there a need for open-source solutions in risk modeling?.


    It’s all here in this incredible episode of the Hedgineer Podcast. Listen here.


    Hosted on Acast. See acast.com/privacy for more information.

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    52 分
  • Ep 14 | Storytelling with Data
    2024/08/19

    At Hedgineer, we believe data has a voice and we are committed to helping you hear what its saying.


    In this episode, former Goldman Lead Engineer, now Hedgineer Managing Director Jhanvi Virani joins us to discuss how hedge funds can deliver alpha to their investors by leveraging the Hedgineer platform. Gone are the days of siloed data and non existent processes.


    To thrive as a hedge fund in 2024 and beyond, you need to interact with your data to unlock its true value.Jhanvi explains how her skill set and years of experience at Goldman uniquely position her to solve the most challenging data and analytics problems our customers face. She believes in the power of storytelling, that is has a direct impact on the way your investors evaluate their relationship with your firm.


    This is a DO NOT MISS episode. Thanks for joining us.


    Key points include:

    Interconnectivity between Risk, Research, Trading, Operations, and Investor Relations

    Breaking down data silos

    Unlocking data

    Enabling your data to tell stories

    Define and unify processes

    Bring your own cloud


    Hosted on Acast. See acast.com/privacy for more information.

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    32 分

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