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well , big firms often like to hire more math/stats/cs grads and sometimes physics and some engineering(civil , chem , ...) because they got the quantitative skills needed for this kind of job, i've seen some MFE graduates and they did get hired by some mid firms , but if you're aiming for top firms just take more cs and math classes and stay away from economics ones , and do a masters in statistics or cs or any quant major

Depends on what your looking to learn: stats, cs, etc Here's a stats textbook I recommend: probabilitybook.net And here's a good resource to learn c++: www.learncpp.com/

I did not like that rationale either. What is the correct reasoning for it being x again?

You need to find other ways to stand out whether it be through projects, placing in competitions or achieving some resutls (published papers, project with users, high codeforces score, etc)

you need math this is probably the most applied mathematics and statistics job you can get the whole job is about calculating statistical probability and risk in free markets using math and risk models you will be using the highest level math classes and if you want to stand any chance, you have to start learning math from the beginning and don't give up. finance should not be your major for this role.

Thank you for your advice. Do you think it would be better for my career if I study Computer Science for my bachelor's degree and pursue a master's in Financial Engineering, Computational Finance, or Financial Mathematics? Alternatively, what about studying Economics for my bachelor's degree and self-studying programming and additional mathematics, followed by a master's in Financial Engineering or a related field?

@@eddiekiller21 Thank you for advising me Do you think if I study CS at bachelor degree and getting a master in financial engineering,comptentiual finance or financial mathematics it would be better for my career? What about studying economics at bachelor degree and self study programming and extra math and get a master again in financial engineering and etc?

You can still get internships in your masters/pHD - these firms hire across the board I'd say look into competitions held by firms along while making one really in depth project that showcases your interest. From there it's simply practicing questions on the site and competitive programming (if you're going for quant developer) Hope this helps :)

My best recommendation is build out a project that shows your interest in quant finance, I'd even put it above my professional experience on my resume to highlight it. Here's an example: Statistical Arbitrage Project - it'll go from strategy generation, data sourcing, signal construction, backtesting, performance evaluation, weighting, optimization of strategy, etc -- this would be a bigger project, but depending on your timeline you can make a different one. Another idea is to try placing in a firms competition, some friends of mine did quite well in IMC Prosperity - other firms definitely have similar competitions. If you're aiming for Quant Developer - another idea could be focusing more on competitive programming, (code forces red is a good goal) Goodluck!

Thanks - as for your question, its quite competitive, if you're a math olympiad or have done well on large math/cs competitions (e.g IOI) your chances are higher. That said you still have a good shot if you build a decent foundation in statistics and have relevant projects on your resume

Checkout solution 2 in the video 1:50 - a much cleaner solution imo

I agree. But how well does that approach scale to the more difficult questions. I think being familiar with summing across the combinations is good practice for when you get to things like the 20 and 30 die question

Heard physics majors break into finance but Quant is a completely different ballgame

I mean you almost got it - if your friend must choose between 40-49, then if your 39 no matter what your friend picks he will be in this range Don't beat yourself about that though your thought process was correct, just practice more on quantquestions.io and that'll help to build your confidence. Some problems tend to have patterns to them, so even if you didn't get this problem, similar problems will now become easier. Good luck and don't give up!

yes, to get ur friend to get a number between 40-49, you end your turn at sum 39, so that his range of sums is 40-49. keep doing this downwards, to get him to 39, you end turn 28, 17, 6

@@ericluo28 thanks for the explanation ericluo😊🙏..now I got it

Take a math minor and pursue a masters in stats or applied maths

@@will-ti2qs Done! I declared Business analytics with a minor in Statistics for my transfer school. Depending on how it goes I might convert the minor into a double major, any feedbacks?

As I experienced and talked to some of my seniors who got into quant , statistics(model based quantitative skill) seems really important for this industry. Grind statistics as much as possible and pursue MFE or other related majors after your undergraduate would be the best idea!

@@Ill_0823What’s MFE

@@Ill_0823thank you very much and sorry for my late reply! I’ll do that!

@@nicolocantaluppi5572 gonna be straight up, don't know if you can make the shift. Math is going for you but massive gap in finance knowledge and experience

Why tf would you want to go for a quant?? You studied physics for christ sake , go work for nasa or some shit

You need to be good at math

You just need to study for 10 000 hours. Quantitative rigorous 4yr undergrad + extra readings and practice + ( personal project or work experience ) + interview prep = (4yr x 50hr x 40weeks formal education ) + ( 600hr in textbooks or certifications)+ (200hr x 4projects) + (600hr leetcode, olympiad math)

@@lukascho6297 and then a next 10 000 hours to make sure understand everything. so by time you get your phd and turn 60 you''ll be ready to apply for jobs !

@@lukascho6297 if someone from ETH Zürich graduates with a CS master's, and they had already done a dual program in a bank for Fintech. Is that a good prerequisite?

​@@lukascho6297I'm going to a relatively prestigious Uni doing Computer science with a financial focus, and I'm doing an apprenticeship with a bank. Is that a good start

@@lukascho6297is this accurate or are you playing? Because I am willing to give it a try. Thank you for the feedback :)

Oops looks like you made a small mistake here. The probability of getting a heads is p, not the probability of getting tails. Make sure to read and re-read the problem to avoid these small mishaps :)

I think the MSc will serve you well, but before that a very important quality for quant jobs is having a good affinity for mathematics Hardvard has a free Stats 110 course online that we always recommend, so I'd recommend finding out if you like maths and can learn it well before pursuing a quant job

Math is in our opinion the best foundation to have, along with statistics

its not THAT hard, most of questions are straight up from HS level math competitions

@@user-wc3qj9kb2l if it were that way then no one would hire the smartest minds alive for this.

@@user-wc3qj9kb2l btw how many interviews u have appeared till now?

@@user-wc3qj9kb2lbrother that is CAP, u don’t actually believe they ask people with PHDs in stats or maths hs math questions?

they arent hard, they are niche. it tests your background not your capability. though background shapes your current level so

watch coding jesus video on it

Join our discord: discord.com/invite/9pWaQkS9qb You can DM us there

Nah man, just put the fries in the bag bro

Would be a hundred times better with experience

nice, i will dream of this tonight (and you)

@@dvmso6099 🤣

Will definitely look into this, thanks for the recommendation :)

keyword: imagine. you can hate money all you want but at the end of the day you're giving the channel money by watching and money will still stream regardless

@@kushpenguin my contention went over your head entirely.

I say people are already doing that, look into Andrew Youn and the One Acre Fund Definitely an instance of putting great minds to work on important problems

But these industries create huge demand for highly distinguished problem solvers, and select them based solely on merit - with highly abstract transferrable skills into any STEM domain. If it wasn’t for these huge rewards, what else would motivate millions of scholars towards computational sciences? I agree money is too powerful, but in terms of pondering efficient allocations of capital, what about the billions spent into the entertainment industry? The effort gone into hosting sold out Taylor Swift concerts, Superbowl, Champions League, K-pop, and Bollywood, for I’d argue those costs create less value for society than even the investments industry. My point is, the best synergies/productivity happens when we let people do what they want to do, and let people pay for it… For we all apes afterall… So there will always be stupid spending, humans love singing women and wine. More importantly there will ALWAYS be conflict, and more fundamentally competition over finite resources, thus we have geopolitics, and that’s all business and money. If you want to solve this big money problem, we need to have world peace; or world domination.

Maybe it says something about how relatively important beating the market is. So this would imply that efficient capital markets are very important for a modern economy.