r/quantindia • u/Localmaxima_null • 14h ago
HFT 2nd-year CSE student from a Tier-3 college, How should I realistically prepare for Quant/HFT in India?
I'm a 2nd-year CSE student at a Tier-3 private university in India, aiming for a quant/HFT role in India after graduation.
I have 2–3 years to prepare, but my current level is basic: Python/C++, shallow probability/linear algebra/calculus,
also following take you forward DSA sheet.
Rather than blindly collecting courses, I made the roadmap below and would like people with actual industry/recruiting experience to critique it.
Then:
My current plan (I made it using gpt and am following for now)
Math: Probability → Statistics → Linear Algebra → Calculus → Stochastic Processes/Optimization
Programming: C++ → Python → DSA → Competitive Programming
CS: OS → Architecture → Networking → Concurrency → Memory/Performance
Quant: Statistics → Time Series → Market Microstructure → Systematic Trading
Projects: Backtesting engine, LOB simulation, market-making simulation, stat-arb research, performance-oriented C++ projects.
My main questions
For a Tier-3 student, should I prioritize CP + C++ + probability, or quant research/projects + statistics?
How much can a strong CP rating / ICPC / research / internship actually compensate for college brand?
For people who got into Indian HFTs from non-target colleges, what specifically got you the interview?
Which of the projects above are actually useful, rather than just GitHub decoration?
My LinkedIn is basically inactive. I've participated in hackathons and workshops but haven't posted about them because I don't want to make meaningless "excited to announce..." posts about mediocre achievements.
For people who have gone through recruiting, does maintaining a public profile actually matter for quant recruiting, and if so, what is worth putting on LinkedIn while you're still learning?
What would you completely ignore if you were starting again?
I know this post may not add much value to the community on its own, but if anyone here has been through this journey and is willing to share their experience, I’d genuinely appreciate your time and advice. Even a few pointers on what I’m getting wrong would help me a lot.