I See Data People

• 25 - The Judith Gu Episode

  Judith is a Managing Director and Head Equities Quantitative Strategist for Scotiabank’s US Equities Sales and Trading. Prior to Scotiabank, Judith was a VP at Goldman Sachs and Citadel, after starting her career at Morgan Stanley.  Judith discusses how market makers leverage data to hedge trading risk. She delves into why market makers increasingly need to leverage fundamental data, in addition to traditional market data, to effectively hedge risk. Judith also alludes to the market making use cases for alternative data and explains why trading operations need to have complete control over their technology infrastructure, particularly regarding trade execution. 

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  14:11

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  14:11
• 24 - The Richard Hoffmann Episode

  Richard is co-founder and Chief Customer Officer of Datarade, working with thousands of different data providers and data buyers to make data commerce easy. Datarade operates Data Commerce Cloud™ (DCC) which enables data providers to sync data products instantly to sales channels including Google Cloud Analytics Hub, SAP Datasphere Marketplace, Alation Marketplaces, and Datarade’s proprietary Marketplace. Prior to founding Datarade in 2018, Richard was scaling sales & revenue teams for many Berlin-based B2B Startups. On I See Data People, Richard discusses best practices for monetizing data successfully, his predictions for the data industry, and what DCC is doing differently to empower data provider businesses.

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  15:53

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  15:53
• 23 - The Jeremy Baksht Episode

  Jeremy is the founder of a new stealth startup in supply chain data infrastructure. Prior to co-founding his current company with Travis May (the founder and CEO of Datavant), Jeremy was the Head of Data Strategy for Walmart Data Ventures. Before Walmart Jeremy held a variety of roles in the data industry, including Global Head of Alternative Data at Bloomberg, Chief Revenue Officer at Estimize and Chief Product Officer at ACE Portal. Jeremy started his career in global industrials investment banking at Citi and JP Morgan, after briefly consulting at Accenture.  Jeremy discusses the evolution of the data landscape over the course of his illustrious career, and why he is pursuing a compelling opportunity in the world of supply chain data. Jeremy delves into how he has spotted early trends in the data landscape ranging from alternative data to Web3. He shares his views on both asset management data use and corporate data use, as well as the roles of data scientists, data engineers and data analysts. Jeremy even shares the controversial view that a lot of data has net negative value due to how challenging it may be to derive insights from mediocre datasets.

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  20:46

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  20:46
• 22 - The David Rosen Episode

  David is the co-founder and CEO of Catylex, where he and his team leverage AI to extract data from contracts. Prior to Catylex, David was senior counsel at Bridgewater Associates, Executive Director and Counsel at UBS, and Director and Counsel at Credit Suisse. David started his career as a database developer before jumping into law at Cleary Gottlieb. David discusses the parallels between legal contracts and code, and how those similarities led him to building Catylex, a company focused on extracting data from contracts. David explains how contract data can be utilized to more efficiently understand the content of the hundreds or thousands of contracts many companies possess. David even suggests that contracts as we know them today may be replaced by smart contracts that rely on company-specific data that can be inserted into a model that generates optimal contract terms based on the data inputs.

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  16:25

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  16:25
• 21 - The Kirk McKeown Episode

  Kirk is one of the most brilliant and intense entrepreneurs in the data industry. He is the co-founder of Carbon Arc, a decision intelligence company. Prior to Carbon Arc, Kirk was the head of proprietary research at Point 72 Asset Management. Earlier in his career Kirk was head of proprietary research at Glenview Capital and an analyst at Tudor Investments. Kirk discusses how data analysis couples fundamental frameworks and purpose driven pipeline engineering to provide decision intelligence. With this framework in mind, he explains how the tools investors use to gain insight can be applied to corporate decision-making. Kirk also delves into the challenges with both data and methodology, highlighting how data engineers and data scientists need to understand business applications, and how business users need to understand the core functions and limitations of data technology. Kirk concludes the episode by providing vital insights into the future of the data ecosystem.

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  22:35

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  22:35

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