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Maths for buysides vs sellsides

Joined
12/25/22
Messages
4
Points
3
Hi all, I hope I can get your opinion this topic.

I am an incoming Desk Quant at a hedge fund out of undergrad and wanted to know better about what math is expected across the field. According to the sentiment on this subreddit and several sites like this website:

Math topics for buy-side quants

  • Linear algebra
  • Differential Calculus
  • Probability and Discrete Mathematics
  • Time-Series Analysis
  • Machine Learning
Math topics for sell-side quants

  • Ordinary Differential Equations (ODE)
  • Partial Differential Equations (PDE)
  • Numerical Approximations of Definite Integrals
  • Montecarlo Simulations


Do you feel like this oversimplification makes sense in any way? Or it is usually a mix of the bunch.

If so, what tasks in sell-sides ask for ODE/PDE or Monte Carlo that isn't normally found in the buy-side? I am guessing something like derivative pricing but it hasn't been really a hot topic so I am very curious about the actual topics that you do (without going into detail).

Also, is it true that buy-side quants do not generally use stochastic calculus and other stuff listed above? What would be the heaviest topics that you employ day to day? I am coming right out of undergrad so I am unsure that I am mathematically mature enough for the long run.



Thank you.
 
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