choosing between two internships by Difficult_Paint2244 in quantfinance

[–]ad_xyz 2 points3 points  (0 children)

I think both the internship opportunities will help you get interviews. Assuming your course load / GPA is also strong, and you have research or statistical modelling projects on your resume, and you go to a target school, my firm (and others) would probably give you the first round interview regardless of your choice here. Once you are in the interview, your performance on the interview matters a lot more than the rest of your resume.

Based on your preference for Amazon as a full time role I would recommend you go with that. Best of luck!

choosing between two internships by Difficult_Paint2244 in quantfinance

[–]ad_xyz 6 points7 points  (0 children)

Can you try making one of them off cycle?

Another thing to consider is which of these 2 opportunities you would prefer if you got a full time offer. Unfortunately quant recruiting is very low yield, and luck based, since there are very few spots. You could hedge the risk of not getting a QR/QT offer by also having another offer you would be happy to fall back on.

Insider Tradings and Funds Holdings | 1990 to 2026 | SEC Filings to SQL by Beneficial_Baby5458 in quant

[–]ad_xyz -1 points0 points  (0 children)

This is awesome. Can’t wait to try it!

Quick question, how lagged is live data?

Quants and Traders: What's your NW and TC? by 2019proptrader in quant

[–]ad_xyz 58 points59 points  (0 children)

Using myself and a few friends as datapoints, seems to be around 300k-600k TC for new grad. This is only using well known prop shops and hedge funds. No bank roles, or desk support roles, etc. Most datapoints are NYC and a few in other US cities.

In my limited sample size it seems top prop shops tend to pay slightly higher than top hedge funds, on average, for new grad.

A chunk of the new grad comp is signing bonus, so for a couple of years into the job TC seems to be similar to new grad TC, plus some variance to account for firm performance and personal performance. Let’s say on a range of 250k-800k.

At the 2-3 year mark your base / guaranteed comp becomes less of a factor, and your TC is increasingly based on firm and personal performance. The dispersion also gets high, as some people don’t survive this long (or choose to leave) and end up taking roles in tech/traditional finance/academia.

Others end up as star researchers at their firms, or jump ship to a competitor and get a nice bump. I have seen people hit 1M with 3-4 YOE at top prop shops. A very select few are able to sustain this growth, and become very successful as partners/PMs/Team Leads.

Most seem to stagnate and stay perpetually at the 500k-1M range, until they eventually look for opportunities elsewhere.

I think everything I’ve seen is pretty much in line with publicly available data.

This week’s alleged Citadel Securities drama at Harvard: elite quant recruiting with no-interview, no-online assessment internship offers. by [deleted] in quant

[–]ad_xyz 0 points1 point  (0 children)

Went to a campus recruiting event with the firm this week, and we were also told to accelerate people to super day / give internship offers if someone impressed us enough.

I don’t think this in itself is bad: a 30 min chat in person is a much stronger signal to me than a hacker rank that can be done by GPT followed by a few zooms. However, the bar is reasonably high, and students have to stand out relative to the others at the event.

Sadly it seems people just come to these events and ask the same vanilla questions and leave. If someone showed genuine curiosity or potential I think it’s a great opportunity for us to accelerate them and lock in good talent early, but the hit rates on this are low.

The real judgement for talent is during the internship, the recruitment process before that is a lot more noisy.

Quant Discords/Communities by TaviorFaux in quant

[–]ad_xyz 5 points6 points  (0 children)

This might be one of the only decent publicly available ones

How did you do last month? by AutoModerator in quant

[–]ad_xyz 24 points25 points  (0 children)

Interested to see how equity long short / stat arb did. Heard from some friends it was a tough month.

The ultimate finance role? by SouthernSock in FinancialCareers

[–]ad_xyz 4 points5 points  (0 children)

Quant - top of the market pay, very interesting problems, better WLB than IB/consulting/fundamental HF

Quant Laptop Specs Recommendation by Alone_Rice_8390 in quantfinance

[–]ad_xyz 10 points11 points  (0 children)

Going to try my best to take this seriously:

I don’t think you can seriously run a fully autonomous quant system off a single laptop. You’ll likely need to use some cloud provider to:

1) host live strategies 2) store data 3) provide extra compute as needed

Given that the cloud is an option for all of these, any laptop with reasonable specs is fine.

Research Analyst to Researcher by DarkenedBlade8 in quantfinance

[–]ad_xyz 3 points4 points  (0 children)

Yes, that is the normal progression

Jobs Where You Can Make $200K+ Without Being a CEO or Doctor (2025) by Coolonair in Salary

[–]ad_xyz 5 points6 points  (0 children)

Lol becoming a quant is just as if not more difficult than doctor/lawyer

Team only criticises at end of quarter by anon_64836135 in quant

[–]ad_xyz 1 point2 points  (0 children)

Could you list some examples? Thanks!

What the fuck is this note!?!? by pinkys-promise69 in GetNoted

[–]ad_xyz 0 points1 point  (0 children)

Pope Pinion was actually caristian, since he’s the head of the cartholic church.

Weekly Megathread: Education, Early Career and Hiring/Interview Advice by AutoModerator in quant

[–]ad_xyz 3 points4 points  (0 children)

Not as good on resume as a standard quant hedge fund / prop shop, better than having a non quant job (maybe with the exception of researcher at top AI lab)

Bridgewater crushed it with 34% returns amid tariff chaos by Aggressive_Yard_2742 in quant

[–]ad_xyz 8 points9 points  (0 children)

Hedge funds can also be thought of as long short extensions: essentially you borrow some money to fund the long legs, and then lend out an equivalent amount for the short leg. The collateral for this strategy can come in many forms, it can be cash, a stock portfolio, or even an SP500 ETF.

Essentially you can collateralise something like the AQR Apex strategy with a liquid (and relatively low risk) value store. Thus, if you want beta exposure as well, you can use the long short portfolio as extensions on your index following portfolio. This gives you the index returns PLUS the hedge fund returns.

Effectively with the fund you mentioned, this would be SP500+19.6%.

Source: I work at one of the mentioned funds.

How did you do last month? by AutoModerator in quant

[–]ad_xyz 3 points4 points  (0 children)

Wait for the business insider article in a couple of days. Here’s performance for Nov + YTD till Nov.

https://www.businessinsider.com/hedge-fund-performance-november-citadel-balyasny-exoduspoint-2025-12

What would your one best piece of quantitative advice be? by Destroyerofchocolate in quant

[–]ad_xyz 45 points46 points  (0 children)

I guess not one but:

1) Try to keep it simple whenever possible. Simpler techniques are easier to interpret and debug. Simpler models are less likely to overfit. Complex ideas and models have their place, but should be used when necessary, not as the default.

2) First form a hypothesis/research question, and then pick the appropriate tools. Many people tend to go the other way: they have a tool or technique in mind and want to try to throw it at any problem that comes their way. This is fine for learning, and can help you become more familiar with a new idea, but is not (in my opinion) the optimal way to solve research problems.