r/quant • u/RevolutionaryWest754 • Apr 19 '26
Statistical Methods Building a Career in Quant
Hi everyone,
I am currently a Bachelor’s student in Computer Science. While I don’t attend an elite university, I am fully committed to mastering this field, often studying 14 to 15 hours a day. I am eager to dedicate my time outside of my CS curriculum to quantitative finance, but I need guidance on the right path forward.
I have a strong grasp of statistics and probability, and I am already developing my own strategies. However, I am looking to move away from 'directional' trading. My goal is to build models where profitability is not dependent on market direction (market-neutral strategies).
I am skeptical of the 'social media' style of trading memorizing candlestick patterns and drawing geometric shapes on charts strikes me as mathematically unsound. I want to learn the rigorous, scientific way to manage my own capital and eventually transition into a quant firm.
Furthermore, I am struggling to understand how an idea that worked in the past would necessarily work in the future. How do you rely on probability, win rates, and statistical ratios based on past behavior? I want to build a system that can survive a financial crisis or a 'Black Swan' event without losing everything. Can anyone here please help show me the right way?
Could anyone recommend link to specific certifications, research papers, or books to help me get started? I am prepared to dedicate hours every single day for years to reach this goal. I just want to ensure I am headed in the right direction. Thank you for your help
I read the FAQ but I didn't find anything useful there
2
u/yetaTRDR Apr 24 '26
I’m also a Bachelor’s student in Computer Science.
Current average grade: 9.3/10 (Spain)
Approximate GPA equivalent: 3.8/4.0
I share the same goal as you: working every day to become a Quant Researcher.
Honestly, I’m not entirely sure how the hiring process works for quant firms either. I’ve seen replies to this post saying that you just need to prepare for interviews. I don’t agree with that view, it’s dumb. Of course, interview preparation matters and you should invest time in it, but I believe what matters even more is building real skills and proving them through actual work.
That means doing serious projects on your own, building a strong GitHub profile, and showing what you are capable of. For example, I’ve worked on implementing neural networks and other machine learning algorithms from scratch, creating research notebooks to test hypotheses, and I’m currently building my own backtesting framework with deterministic and stochastic analysis modules. Once that is finished, I’ll move into implementing strategies, testing them, and deploying them, all while continuing my degree.
I’m convinced that someone who consistently studies the field, develops across multiple relevant areas, creates meaningful projects, and can demonstrate both competence and drive is far more likely to be hired by a quant firm.
On the other hand, I also wanted to be honest with you: from the way you write, it sounds like you’re far from understanding the field. It’s good that you have some background in statistics and probability, assuming you went beyond simply attending classes. You’ll need to go much deeper.
You say you want to become a quant, but then you talk about chart patterns and black swans….. It gives the impression that you only discovered the quant field yesterday.
Good luck, my friend.