None of these classes cover linear regression in-depth enough, however, so you’ll need to engage in independent study as well.įor data science, you will most likely be asked about the data science process and techniques. Good classes for this are Data 100 for basic numpy/pandas, Stat 151A or Econ 142 for linear modeling, and CS 189 for general understanding of prediction techniques. This is more so for Quantitative Research roles, but knowing linear regression inside and out is paramount for interviews. Machine Learning and Data Science (Quantitative Research Roles).Stat 135 is the most helpful for an intro to statistics, and is a fairly easy class. While an understanding of various testing methods and a general knowledge of statistics are useful for anybody in this field, these topics are usually only brought up in Quantitative Research interviews. Statistics (Quantitative Research Roles).If you did Multivariable Calculus and/or Linear Algebra in high school, that should be enough as well. Make sure to have some sort of understanding of the math taught in classes like Math 53 and Math 54, focusing more on Linear Algebra rather than Calculus. Not super important, but if you have time, make sure to brush up on basic Linear Algebra and Calculus. Python tends to be the preferred language for quantitative finance. ![]() This typically requires CS 61A, CS 61B, CS 70, and of course CS 170. Make sure to have CS 170 level knowledge of programming and algorithms. ![]() Stat 150 is definitely unnecessary as the Green Book (which I talk about below) covers everything you need to know about markov chains and martingales, but I personally enjoyed the class a lot and found it useful for my own understanding of stochastic processes. If you take Data 140, I’d personally recommend Stat 150 to cover stochastic processes, which sometimes appear in interviews (but not very often). EECS 126 covers more, but Data 140 goes more in-depth and is more related to the type of stuff you’ll see in interviews, so I’d recommend that over EECS 126. I would recommend Data 140 or EECS 126 for this. Make sure you take at least one upper-division probability course. Thus it is paramount to understand probability inside and out. A lot of trading interviews won’t even test your programming skills and only your understanding of math and probability. This one is by far the most important topic to understand. if you can’t do it initially, keep on practicing! Just like everything else, practicing mental math often makes you both faster and better at it. Use the default settings, and try to score above 40. While there are no classes for this, make sure to practice it often while doing practice problems in math, probability, or any other technical field, or even in everyday life! A good resource to practice your mental math skills is ZetaMac. The bread and butter of trading, make sure your mental math game is on point. Shaw’s Fellowship Programs, amongst some others. ![]() If you’re a freshman or a sophomore, there’s specific programs that you can apply to, such as Jane Street’s FTTP, Citadel’s Discover Citadel, and D.E. Never, ever say you’re a sophomore or a freshman, because that means an automatic rejection from any quant internship. ![]() Compared to other industries, referrals and connections in quant mean significantly less, and time spent preparing for the interview will serve you better than any extra time spent getting a referral. While referrals can help, don’t focus on creating connections within the industry, and certainly don’t sacrifice time preparing for the interview for the sake of networking. If you have a deadline, make sure to let firms know via application or email, and they’ll most likely give you an early interview even if their applications haven’t opened yet. In general, make sure to apply as soon as the listing is open. The earlier you apply, the better chance you have of getting an offer. I would highly recommend applying starting from Late March/April to these earlier firms and then applying as soon as possible to other firms in the summer. Most quant job listings come out in Late July/August, though 2-3 firms tend to start earlier (Late March/April). Here’s a link to a a resume template I like and use. If you did math competitions in high school make sure to include those, along with your high school info if you had high standardized test scores. Make sure to optimize your resume towards a focus on math and data science. How to land an internship or new grad role in quant finance (focused primarily on trading).ĭisclaimer: All statements here are of my own opinion from personal experience and what I’ve heard.
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