Hi.
I am a math student, and I am a strong communicator. So, I think I have the skills for both.
如果你们可以帮助我比较这些工作，这将很感激。
我主要关心的事情：
1) Salary
2）职业发展（在公司内）
3）文化
4) Stability/ Future Outlook
5) Ceiling Salary
只要您具备两者的技能，您宁愿成为量子还是IB？
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评论 （16)
学习数学不足以进行量子。您必须非常聪明，而MSC确实是最低限度的。
However,IBrole is probably more interesting and exciting and opens doors in more industries.
I think that if you are not very interested inIB，那么您不应该这样做，因为您可能不喜欢它。如果你真的想做IB, then do it.
Answered very well. I am a quant developer that worked inIBfor 2 years before jumping boat.
Being a Quant analysist is not easy, most quants are math or physics phd who published some great papers, some were researchers who spent years on mathematics.
同样，只要您与其他人搞砸了，您的工作安全总是会很糟糕。
Yeah, fair. I have no clue why I got 3 MS lol
So you might already have this information but I think you are missing the most important questions around what the work is like so that you can figure out whether or not you'll enjoy it. I say this because no matter how smart you are, if you don't truly enjoy the work you'll get leapfrogged by people who are just as smart but love what they do (or close to it).
Another thing to keep in mind is that "quant" is a word that is thrown around and means different things to different people. Even being more specific around "quant researcher/signals research" at aHF, can be pretty different (time horizons, how "mathy" the role is, asset classes, systematic vs pure quant, etc). So the answers you'll get are pretty different. Similarly,IB覆盖很多，因此您可能希望更具体。
Things that'll be hard to get a good answer on: - culture - this is firm dependent, team dependent, etc. It'll be difficult to get an answer on this - career path/upward mobility within firm - will also be difficult to answer. The thing to keep in mind here is around future opportunities,IBis a bit more general and after a 2 year stint as an analyst you have the business school/VC/HF/PEoptions, while quant is a bit more specific and you will generally have fewer exit opportunities (especially at the level of pay). Additionally, quant funds will tend to have non competes, so that'll also be something to think through.
至于Comp，入门级的定量将更高，但机会较少（因为这实际上只是顶级公司）。这IBpath is a bit more defined if you can get intoPE, etc, and more stable, while the vol in quant is higher, and if you are doing alpha research the ceiling is also higher than "pure IB". But really after about 5-7 years on the quant side the differences in comp between the top people and the average is large, and it is way too hard to predict this well (I.e. some people will still be around $300-400k, while others will be 7 figures). Again theIBpath here is a bit more defined (up until senior VP/MD where comp across people diverges significantly).
感谢您的回复。我要么想成为顶级的量子研究人员HF或者嘛BB/EB. Could you help me compare these jobs. Would you rather be a Quant or IB?
现在还辩论类似的话题
What would I rather be? Well that's easy because I'm already at aHF我会接受HFroute (and have been in the field for a while).
这problem with that question is that: 1) it is hard to get into the top HF's out of undergrad 2) the risk around aHFis much higher (in pay but also just job security) 3) the skill set you learn at aHF（显然是由于公司而异）比更具限制性（或被认为更有限制）IB4) the non competes are much stricter in theHFspace 5) the stress associated withHFs, in my opinion, is higher and everyday there is more work than you can get through.
I could go on, but you have to look at the probability of success in these roles and what it means (and the risk of failure atHF是真实的，比IB更真实。
现在我喜欢自己的工作，发现问题非常有趣，我喜欢数学，我喜欢拥有相当多的自主权，每天试图击败市场，试图考虑分析市场的新方法，等等。因此，如果您喜欢这些东西，并且发现合适的公司可能会非常有意义。但是，一定要知道，您所面对的人本质上是在考虑24/7的市场，而时间不像在银行业务中，如果您想成功，您需要掌握一切。
I didIBfirst, then left for a quant shop. Mostly hated it and realized I want to be a fundamental manager. Went back toIBbriefly to polish the fundamental skillset a little further, and now do fundamental.
我对量化的问题是，这对我来说不是一条长期的长期发展道路，因为我无法通过使用广泛可用的数据进行简单的工作来看到强大的优势，这就是很多公司做。我认识的公司，包括我所在的公司，正在制定相当基本的策略，并依靠公众对所有“大数据”的迷恋，以在短期内提高其AUM，而不是发展更深，更可持续的优势长期。
That's great if you're the CEO or the senior sales staff. Get rich today, why not. But if you're a junior or midlevel looking to make his own mark on the firm, there was little avenue for that without an appetite to innovate further.
Designing an algo that will reliably beat the market long-term, with the additional caveat that it will need to be able to do this while managing lots of money, is too hard for most of the quant firms today. No doubt some are doing it or developing it. But I dont' think its most of them. I would encourage any candidate in this area to be very skeptical of the firm's edge and make sure you join a place that is being very thoughtful about it. Any strategy that just targets a laundry list of metrics is going to have it's edge diluted quickly because everyone and their mom is working on something.
But what would the alternatives be for Quant? If you could start over, what would you choose?IB,PE, traditionalHF, Tech...? WhatHFare still great for quants?
Renaissance Technologies2Sigmade shaw
再次量化太一般的术语。如果你are saying would I learn how to use technology (specifically coding) and analytical techniques to solve problems (specifically in finance), then yes I would do that again. Being able to write logic and use data to analyze problems is a very useful thing to learn across many industries and I think is important for being able to consistently produce results in the finance world (and in general).
But the reasons why I would doHF主要因为我喜欢的工作(和course it pays well), others have a different set of criteria (stability? Maybe people want a more relationship based job? Want to tackle different types of problems, Etc). Which is why asking these questions is fine but I don't think it'll be that helpful. Understanding why I'd do it again should at least be a bit more helpful because you might hold very different values/priorities).
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