Matt Ober, a data sourcing expert, discusses his journey in finding data, collaboration with data vendors, and the evolution of data strategies in finance. They explore AI technology's impact on investing, social leverage investments, and the appeal of angel investing. The podcast also delves into alternative data space investments and introduces a new venture, initialdataoffering.com.
Building relationships with data vendors is crucial in the alternative data space.
The future of data science in investing lies in embracing technology like AI tools and cloud infrastructure.
Deep dives
Matt Ober's Background and History with World Quant
Matt Ober discusses his journey from working at Bloomberg to joining World Quant, where he led the data strategy team. He joined World Quant through an unconventional route of a Craigslist posting, eventually becoming the head of data strategy. During his time there, the team grew to 600 researchers and engaged with numerous data vendors globally, showcasing the importance of building relationships in the alternative data space.
The Early Days of Data Sourcing at World Quant
Matt Ober reflects on the early challenges of finding data in the alternative data space. World Quant focused on consuming vast amounts of data to gain a competitive edge in managing larger funds. They prioritized building relationships with data vendors, attending conferences worldwide, and providing valuable feedback to improve data products. This proactive approach set World Quant apart in the burgeoning world of alternative data sourcing.
The Evolution of Data Collection and Competition in the Industry
Matt Ober highlights the rapid growth and competition in the alternative data industry. While early days saw limited competition, World Quant operated at an impressive pace, constantly growing and adapting. The industry has since evolved, with events like Battlefin and the Data Science Combine emerging, fostering networking opportunities among data vendors and hedge funds. The landscape has shifted towards relationship building and collaboration between data vendors and investment firms.
The Future of Data Science in Fundamental and Quantitative Investing
Matt Ober shares insights on the future of data science in fundamental and quantitative investing. He emphasizes the need for analysts to embrace technology and data to enhance investment decision-making. The industry is moving towards integrating AI tools, cloud infrastructure, and scalable processes to streamline investment strategies. Both fundamental and quant spaces will continue to evolve, offering unique opportunities for analysts who adapt to new tools and technologies.
In this episode I speak to Matt Ober, a godfather in Data Sourcing, to discuss his history finding data in the early days of the space and his new project – Initial Data Offering.
If you know of an alternative data story that needs to be heard on this podcast, please do get in touch.
DISCLAIMER
This podcast is an edited recording of an interview with Matt Ober recorded in January 2024. The views and opinions expressed in this interview are those of Matt Ober and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.