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As we all know, interview season is approaching so I wanted to get a take on my preparation schema.
For background, I’m a math and data science major. I am a sophomore so my main goals include landing spring weeks/ insight days at some firms for this year.
My preparation spans three domains:
1. probability and mathematical reasoning including but not limited to combinatorics, mental math, basic markov chains, martingales, etc. for resources, I use Tradermath and mainly QuantProf which has some very underrated questions.
2. Leetcode - Mainly for SWE related roles but also might help on the dev side which I am not mainly targeting but would also be an option in case QT or QR isn’t possible. I am trying to breeze through Strivers A2Z and follow it up with some system design and OS prep
3. Statistics and ML - mainly introductory since I have little background in the same but eager to learn. For stats, I mainly read the book ‘All of Statistics’. For ML/DL knowledge, Andrew Ng’s coursework is what I’m following.
For supplementary project work, I am working through Akuna’s Options 101 course and basic trading skills to understand basic MM.
Being a sophomore, I think I am still not at all close to the bar needed to be a quant but I am willing to learn and try. Some general tips on how to prep and changed I can make to my schema would be highly appreciated.
Can I supplement my prep with more resources?
Should I drop some stuff for now and push it to later in order to prioritise probability prep?
Are there any changes I would benefit from? I would really appreciate some comments or suggestions from people who have already done this or are going to do it in future.

As we all know, interview season is approaching so I wanted to get a take on my preparation schema.
For background, I’m a math and data science major. I am a sophomore so my main goals include landing spring weeks/ insight days at some firms for this year.
My preparation spans three domains:
1. probability and mathematical reasoning including but not limited to combinatorics, mental math, basic markov chains, martingales, etc. for resources, I use Tradermath and mainly QuantProf which has some very underrated questions.
2. Leetcode - Mainly for SWE related roles but also might help on the dev side which I am not mainly targeting but would also be an option in case QT or QR isn’t possible. I am trying to breeze through Strivers A2Z and follow it up with some system design and OS prep
3. Statistics and ML - mainly introductory since I have little background in the same but eager to learn. For stats, I mainly read the book ‘All of Statistics’. For ML/DL knowledge, Andrew Ng’s coursework is what I’m following.
For supplementary project work, I am working through Akuna’s Options 101 course and basic trading skills to understand basic MM.
Being a sophomore, I think I am still not at all close to the bar needed to be a quant but I am willing to learn and try. Some general tips on how to prep and changed I can make to my schema would be highly appreciated.
Can I supplement my prep with more resources?
Should I drop some stuff for now and push it to later in order to prioritise probability prep?
Are there any changes I would benefit from? I would really appreciate some comments or suggestions from people who have already done this or are going to do it in future.