What kind of machine learning do fundamental HFs use?
I have one (and most likely 2 since I passed a coding challenge) interviews with MultiManager funds coming up for ML engineering. What kind of data science and ML are generally used in the industry? I understand they do a lot of skimming through alternative data to find insights, but I'd like to get a deeper understanding.
Following
.
Sure my friend, but simply following a thread doesn't increase its visibility...
From what I have heard from my stats/ml friends at HFs is that the work is kinda to supplement different analyses / theses the analysts have. Like if they think a certain quarter will be good for Apple, they may ask a stat guy to like analyze visa credit card data or something like that to see if there is an outsized trend this quarter. Or to do like other types of analyses in support of fundamental modeling / ideas. Good luck and best wishes! :)
Aperiam error tempore consectetur placeat sint. Sit mollitia nulla voluptas et autem facere. Autem eaque doloremque fugiat quisquam quis enim.
Nesciunt harum aut non autem est dolores voluptatem. Deserunt dolorum suscipit ea beatae doloremque officia. Incidunt sed vel rerum corrupti est officia molestiae. Occaecati et voluptate consectetur officiis ducimus. Voluptatem quia non magnam qui. Dicta magnam ut numquam illo.
See All Comments - 100% Free
WSO depends on everyone being able to pitch in when they know something. Unlock with your email and get bonus: 6 financial modeling lessons free ($199 value)
or Unlock with your social account...