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What is the ROI for the firm? And can start your own fund if returns are lucrative?
How to prepare for interviews for this role?
I mean priority of datastructures and experience in interviews.
Be good at Math Be very good at Statistics Be very good at Probablity Be very good at Machine Learning (not DL but traditional methods) Be good at DSA
Good to have:
Data handling, cleaning experience Elementary knowledge of stochastic process Understanding of derivatives and pricing
Any resource to begin on Statistics. if the resource requires pre requisite, would request that as well
How's the salary? Can you give a few examples?
Base starts around 30-50L, Bonus also starts around similar range. If you are moderately successful your bonus could grow to the few Crs range.
Is this the salary for (A) strats who experiment new ideas in python or (B) the coders who develop the production level code on top of finalized idea in C++ or Java?
How's the interview process?
Hard. Refer another comment for details.
I know it's hard lol. The question was more towards the actual process; interview rounds, type of rounds, etc. And how do these things change at different levels?
I previously interviewed at Jane Street, 2 sigma and citadel and was surprised at how different the processes were.
What branch are you from? Do you have a fab jee rank? Do HFTs or hedge funds look at EE/Physics degrees from IIT seriously for a quant role?
Can't say, yes, yes
How about something like engineering physics from a top IIT? Is a CS/EE-level jee rank make or break or can it be compensated by stuff like cgpa, projects, cp, etc.?
Can you make it to these roles without tier 1 UG?
Yes, but it would be a very hard and long path.
Can you apply your learnings for Indian markets and create a product of your own?
The only hurdles I can see are high fixed cost for a trading team setup and lack of quality data.
