Welcome to Crash Course, a podcast about business, political, and social disruption and what we can learn from it.

I'm Tim O'Brien. Every week on Crash Course, I'm going to bring listeners directly into the arenas where epic upheavals occur and

I'm going to explore the lessons we can learn when creativity and ambition collide

with competition and power.

Listen to Crash Course every Tuesday on the IHeartRadio app, Apple Podcasts,

or wherever you get your podcasts. Hello and

I'm Tracy Allaway.

So Tracy, you know, we've had a number of episodes not that many but certainly a handful of them one of our themes is like

Quantitative finance

Quant stuff we always sort of talk about it from a sort of very big theoretical level, like what's

happening with different factors, alpha decay, stuff like that, always sort of like, tends to be

at the sort of big picture abstraction level I would say.

Yeah I think that's right we talk a lot about the the future of quantitative finance

what's most important I I guess, when it comes to running a successful

quant strategy, like whether it's the actual formula or program that you're using or whether it's something like the data set that you're using.

We've discussed all of those now.

Yeah, absolutely. And you know, so we talk about it theoretically, we talk about it it academically but one thing that we haven't really discussed is you know when you like think about

quantitative finance you think about lots of really smart people

mathematicians people using computers to find data to analyze huge amounts of data

We've never really like talked about it from the bottoms up like the actual process of using computers, using technology to, to perform all these calculations

and to in theory beat the market.

Yeah, I think that's right.

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