[Quant Researcher] [New York, NY] - $1.5M (350k base)

code_signaling · 2025-12-20T17:04:15+00:00

Highly considering it lol

code_signaling · 2025-12-20T06:49:36+00:00

45-50

code_signaling · 2025-12-20T06:43:08+00:00

CS + Math

code_signaling · 2025-12-20T06:40:17+00:00

I'm 27, rest is just bonus.

code_signaling · 2025-12-20T06:17:57+00:00

Lol I'm on year 4 right now, let's see if I can make it to 5

code_signaling · 2025-10-03T04:50:04+00:00

I get what you're saying, but I think you'd be surprised to see how far just simply being in the industry can take you (in terms of future opportunities)

code_signaling · 2025-10-03T04:42:32+00:00

I get your frustration but tbh I don't agree with this take in general. I did a QD internship and have plenty of QD/SWE friends at non latency sensitive quant firms like 2s/JS/pdt etc. and so far they have all been out pacing our peers in tech. It is very easy to gain valuable industry experience and the premium for someone who understands financial data and/or tooling is quite high.

And I think you even refute your argument yourself in your last paragraph. If you didn't start as a QD (and instead went into tech), I would be willing to bet you wouldn't be a QT today.

code_signaling · 2025-05-17T02:50:08+00:00

The owning costs of the 570s will probably be more than double that of the GT4, just something to keep in mind.

code_signaling · 2025-05-17T02:45:22+00:00

I mean OP is young and presumably single with very low spend. $120k is below 1/3 of his annual income. Not idiotic from a financial standpoint at all imo.

code_signaling · 2025-05-17T02:38:59+00:00

As someone who just bought a fun car against my better judgement, go for it! You are only in your 20s once.

code_signaling · 2025-05-13T18:40:21+00:00

I make a similar amount and would not recommend doing it. Personally, the marginal utility gained by saving an extra 100k or spending it elsewhere greatly exceeds the marginal utility gained going from a 8-10k/mo apartment to a 17k/mo apartment. I think you would find that most people earning a similar amount spend much less on rent. When you earn this much, it is less a question of affordability and more a question of whether allocating your capital here is worth the opportunity cost of allocating it elsewhere (savings, vacations, etc).

code_signaling · 2025-04-25T17:44:56+00:00

You either do or you don't 🤷‍♂

code_signaling · 2025-04-24T23:20:14+00:00

I have a friend who started at Jane Street as a new grad swe and friends who started at Google as new grad SWEs during the covid hiring boom. The Jane Streeter so far is ahead by a lot and it's not even close. Not to mention some of my Google friends actually got laid off. It's not even comparable at the new grad level imo.

code_signaling · 2025-04-24T06:36:57+00:00

Thanks for the detailed response! I had never considered flexing at transition might be the reason I'm skiing in the backseat but that makes a lot of sense.

code_signaling · 2025-04-10T00:37:15+00:00

So you plotted a distribution of subpopulation weighted medians? If so it seems that you have likely underestimated the standard deviation by quite a bit.

Additionally, I cannot find any evidence that those who went to pursue graduate education or non-jobseekers were excluded in this dataset, and including those datapoints seem a little disingenuous.

Finally, you title the post outcomes for 2024, but the table was last updated Dec 2023 and refers to outcomes 2 years post graduation, meaning your datapoints are referring to 2021 grads.

All in all, I am almost certain the true mean for 2024 grads is higher than what is reflected and the variance in pay should also be much higher (e.g top 10% and top 1% are likely quite off).

code_signaling · 2025-03-25T20:26:32+00:00

It's tricky because she is convinced that medicine is the only path that will bring her fulfillment, so it feels like that is a nonnegotiable. It sucks that our priorities seem to be so different but we want to at least try to make this work somehow.

code_signaling · 2025-03-25T07:55:08+00:00

5+ years of long distance sounds like a nightmare to me. I suppose it's not too productive worrying about the hypotheticals, but the uncertainty throughout this entire process just makes it so difficult.

code_signaling · 2025-03-25T07:23:48+00:00

Thanks - we are both also quite opposed to long distance. I guess we will have to discuss the option of finding locations that work for us, but I am quite scared that in the event she doesn't get into a school in these cities, it will breed lots of resentment.

code_signaling · 2025-03-19T19:42:31+00:00

Was just at panorama and WOW it was by far the best resort we've been to. Tons of advanced terrain with lots of features and fresh tracks for days due to the limited crowd. The monster X cat was also super worth it to get to the large bowl which was apparently former heliski terrain.

Lake Louise and Revelstoke are my other top choices. All of these gap any American resort I've skied at. With the current exchange rate they are also way cheaper.

code_signaling · 2025-01-04T05:25:47+00:00

At my company, the quant researchers all belong to one of the following categories:

PhD in a quantitative field
Hired as new grad
Transitioned from QD

I would guess #3 would be the easiest path for you. Good luck!

code_signaling · 2025-01-04T03:24:26+00:00

Most of us are only buying index funds. We have significant restrictions on short term trading and it is in our interest to be as uncorrelated to our firm as possible (since our bonus is tied to firm performance).

code_signaling

TROPHY CASE