Hi All.
...Data Science...
...Neural Networks...
...Machine Learning...
...Artificial Intelligence...
=> Seem like sort of Magical Terms (almost like "landing on Mars"... or buying Twitter ;-) but I guess they are used more & more in the Financing World.
I wonder where have you seen practical applications of Data, Data Science & Machine Learning in Finance & in particular - Hedgefunds?
What do you think will be the demand for Data Scientists & Machine Learning experts in HF in the coming years and how can they impact HF and the wider Finance world?
What's the Future?
Best,
Eric
Are you copying and pasting this thread across each industry? lol.
https://www.wallstreetoasis.com/forum/investment-banking/these-magical-…
From what I have seen from friends in the industry on both the traditional investing side and the data science / quant / ML side, those two buzzwords are kinda seen as justifications / ways to capture alpha. Some funds use them as an alternative / additional data source to try to find an edge or a variant view to find Mispricings in the market. Like an analyst is covering Visa. He can go to some quant expert in data science to analyze vast amounts of credit card data to get a better sense of the upcoming earnings release before management or even the market may be aware of. The funds seem to see it as a good way to sanity check their own modeling assumptions and/or find legal, clean ways to generate outperformance for their investor base and capture some alpha in the market. I hope that helps. Good luck
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