I have an offer for an off-cycle/seasonal IBD internship with one of the firms mentioned above in a coverage team that would begin in January. I am wondering whether I would be stupid to turn down that offer in favour of doing a masters (to begin in September) and trying to get a quant role instead. Masters degree would be at a top UK school and coming from a top UK target, if that helps. Pros: - More interested in coding/math/ml and broader problem solving and so I believe it is more aligned to my core interests - Maybe the job market and hiring improves by next year - Day to day benefits in a quant role such as slightly better WLB Cons: - Job market uncertainty next year and this internship could lead into a FT role at the firm - Career trajectory and upside? Is quant pay in the UK reflective of the US or am I capping my ceiling at a much lower bar than the IB route? - What is the probability of getting the highly prestigious quant role I seek e.g. QR at a hedge fund or that of a quantitative trader? I realise they are hiring throughout this period but will a MSc be enough? Wanted to get some other opinions on my scenario and see what you would recommend if you were in my shoes. #bankofamerica #citi #quant #datascience #masters #intern
Probability of securing a quant role is lower than you think. My friend at a quant firm said that they got 2000+ applications for internship and extended ~15 offers.
This did cross my mind. With a MS would my competitiveness be low end?
Probably doesn’t matter. Problem solving ability is much more important
I had some friends get quant research/trading positions at buyside firms straight from college. I am currently working as a "quant" in an investment bank, leaving for FAANG soon though. As far as I can tell, working at technical person in an investment bank and working as a quant in a buyside firm are two parallel paths that don't intersect. Most of my coworkers (including myself) are not smart enough for quant research/trading roles on the buy side. Our work on the sellside is pretty inane in comparison. Just do some statistical modelling, throw some state of the art ML models at a problem, skim thru hundreds of recently published research papers and see what we can apply to our use cases. Decently low pressure because our output is not truly binary P&L. But bad career growth and relatively low growth (no RSU's, and bonus is less), as compared to FAANG. And my role is one of the more technical roles in the bank. Regular investment banking positions have even less to do with this kind of work. On the other hand, my friends who are on the buyside have done international programming contests (ICPC), USAMO (math competition), etc. I think they truly enjoy math and just use quant as a way to make some money. They can always exit to FAANG or math PhD (if they have not already gotten it). These are just my observations though. Other people might have differing observations.
Thanks for your response. I've always said to myself I didn't want a quant role at a bank because I knew it wasn't exciting and the trajectory was not super appealing. May I ask what your background is. In terms of education, math & coding proficiency? Im in the top 10% of my class at a top UK school studying a physical science degree. Not sure if that qualifies or can allow you to estimate if I am on the right level. If I had to characterise myself I would say I am someone who does genuinely enjoy learning. I have strong interest in math and machine learning, which is what I would specialise my masters in. What role are you transitioning to at FAANG and how transferable is your skill set? I am assuming you're US based?
Hey, My education is a combined BS in computer science and MS in computer science (artificial intelligence) from a US engineering school (one of: MIT/Stanford). In hindsight I should have done my undergrad in math/stats so I can understand the fundamentals behind machine learning better. But oh well. My coding is pretty solid, math is relatively weaker as compare to a math/stats/physics person. Other than that I had some research experience in school, but no papers or anything. And yeah I’m based in the US. Different from you, I don’t really care for math that much. I mean it’s okay and I’ll learn it, but it’s not my passion at all. I just studied AI because of the hype and faster way to make money compared to being a doctor/lawyer/etc. I’ll be a software engineer on a machine learning team in FAANG. The interviews are just some typical Leetcode style technical interviews for SWE + a machine learning round. I would say it’s transferable, but there’s more emphasis on Leetcode for FAANG. For my bank job, they just ask some Leetcode easy level problems (well I sort of had connections from school so I think the interview was meant to be easy), but FAANG is exclusively medium/hards. The only thing I am probably missing out on at a bank is knowing engineering best practices. Like we have version control and code reviews of course, but most ppl on my team are from academia so they don’t really have the best coding abilities (though they’re smart in other respects). And also we don’t have an engineering-first culture at the bank. At the end of the day, we are not front office, as much as we try to lie to ourselves. We’re just a support roles for the investment bankers and that’s it. Therefore, not much room for career growth, etc. Our team (AI research and development) does get a lot of investment from the firm (our budget is huge) and our salaries are very high for a back office role. But still... not the optimal place to be (for a person in my shoes)
Take the internship
Thank you for the advice
MS is useless, do the internship, then avoid a bank at all costs for full time.
Can you explain why? I'm curious.
Would like to know why to avoid a bank as well
A quant at a top firm without a PhD is an exception to the norm unless you’re wicked smart with stats
Oddly, there seems to be a fair amount of hires to quant funds and even prop shops through their grad programmes (seems quite frequent here in the UK)
Maybe they get hired as a software engineer? Or their label is 'quant', but the work is not the same as a PhD level quant. Maybe their job is to maintain infrastructure, etc.
Just take it and you can always pivot later. It's an internship, you're not signing a 20 year contract so it's silly to not do it. You can't do this internship later. You can do a masters later.
Very true. I am probably going to take the internship
Don't pass up the sure thing for a maybe thing
Do not pass up the internship.
Can you explain more about the internship? What’s the job function? What would you be doing?
Traditional investment banking, so working with analysts on M&A models, LBOs, IPOs, Powerpoints for pitches etc etc
Sounds like a decent job unless you want a completely different career
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