Matt Ober: How Dan Loeb's Fmr Data Chief Finds an Unfair Edge in Funds
episode
Making Billions: The Private Equity Podcast for Fund Managers, Alternative Asset Managers, and Venture Capital Investors
26 min
2 speakers
8 chapters
transcribed 1 month ago
Transcript
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Transcript generated automatically by AI and may contain errors.
Who is Matt Ober and what experience does he bring to fund data strategy?
Hey, welcome to another episode of Making Billions. I'm your host, Ryan Miller, and today I have my dear friend Matt Ober. Matt is the general partner at Social Leverage, the seed stage firm with over 500 million AUM and more than 150 companies behind him. Before that, he ran data strategy at the Quant Powerhouse WorldQuant and helped launch WorldQuant Ventures after cutting his teeth at Bloomberg. He's a CAIA charter holder and a cross-sell side, buy side, and venture. There are very few people on the planet who have seen how data actually creates an edge from every seed in the market. So what does this mean? Well it means that the manager who learns to turn data into an advantage doesn't just pick better.
They build a moat the big institutions can't easily copy. And Matt is about to show you and I how to do it. Before we dive in, just a word from our sponsor. When doing deals, we all know that raising capital is the one thing that unlocks everything. That's why I've partnered with ReefPass Investors that are actively funding deals right now. So if you're a deal syndicator or founder thinking about launching an M ⁇ A focused buy and build platform, reach out to ReefPass Investors at ReefPassinvestors.com. They are one of the best investors in the game that are helping you launch a new long-term holding company. So here's what I want you to do. Click the description in the notes and contact them for a discovery call and potentially get an invite to pitch your next MA deal.
Now let's get back to the show.
Matt, welcome to the show, man. Thanks for having me. Excited to uh show fund managers how uh to turn data into the you know the edge that big institutions can't match.
Awesome, man. It's good to have you. Let's let's dive in. I know you've done some amazing things with data and you've turned that into funds. So yeah, I'm also very excited to have you here. So you built the data science analytics and risk platform at ThurPoint. That's I believe Dan Loeb's multi-billion dollar edge fund. And you did that after running data strategy at WorldCom. And today you're a general partner at Social Leverage. It's a firm that's built over 500 million AUM on more of 150 portfolio companies. So here's where I want to start. If you were launching a fund today with no data team, no budget, what are the first three moves you'd make to build a data edge that big institutions just can't copy?
Yeah, I think uh in a world where I didn't have a team and everything around me, I'd I'd go all in on Claude. I think also any software provider or tool that I would use would have to be available through an MCP. So you think about the basics of just running a fund, you need a fund admin like Carta, have to have the MCP connection. LP communications, that as well. You know, you think about something like Beehive, which is a company we're invested in, which is a Newsletter platform, all of that can be done through MCP. And then that just makes all of your capital calls and uh you know, even your compliance using something like Archive Intel, which we, you know, invested in. Just able to capture everything, store it, make sure you're saying yes, you know, compliant if you're SEC registered.
But I think if you tie everything through Cloud, I mean, then you can start to build skills and use cloud code and really just automate, you know, all of your processes. All of your oh.
I love that. So then I think when you're you're talking about like fund admin and your communications, all this operational stuff. I think what you're talking about is to say, yeah, obviously we got to do that, but do it in a way, use software or things that have that uh MCP connectivity that's available. Once you have that, now you can start creating. Well, you didn't say this, but I will. But now you can start creating operations and fund management of the future. You can really start to dial in and create that edge.
What are the first three moves to build a data edge without a team or budget?
Is that what we're hearing here?
Yeah. And I mean take away all the operational headaches and LP engagement that you need to do to, you know, obviously build a fund and run a fund.
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Chapters
8 chapters
1
Who is Matt Ober and what experience does he bring to fund data strategy?
0:00–3:18
2
What are the first three moves to build a data edge without a team or budget?
3:18–6:14
3
How should a fund set up its core operational stack (admin, LP communications, compliance) using MCP‑connected tools?
6:14–9:33
4
How can fund managers differentiate between alpha data (fleeting advantage) and beta data (sticky infrastructure)?
9:33–12:40
5
Why are many AI fundraising tools considered gimmicks and what truly adds value?
12:40–15:55
6
What is the practical first step for serious fund managers to start extracting signals from prediction markets?
15:55–19:29
7
How can managers avoid analysis paralysis and know when data becomes costly noise?
19:29–22:57
8
What single discipline separates managers who turn data into returns from those who burn money on data?
22:57–26:21
Speakers
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