Top 30 schools by IB analyst headcount

Ran an analysis on top 30 undergraduate institutions by # of current IB analysts across EB, EB, and MM banks. Definitely a few surprises in there - didn't expect Vandy to be so high, for example. 

Data pulled from 4,000 analyst profiles from LinkedIn, normalized for school, bank, title, and role. 

88 Comments
 

Really interesting data. 

- NYU, Indiana, and Michigan churning out finance robots in waves due to having hundreds of students recruiting for IB

 - UChicago surprisingly high total numbers. UNC and UC Berkeley surprisingly low compared to top publics

- Wide scattering of Ivies with Penn / Cornell far on the left, Columbia / Harvard / Princeton / Dartmouth in the middle and Brown / Yale on the right or off the map showing vast differences in student interests

- Georgetown placement quality right with Harvard and Princeton at the very top 

- Ohio State pipeline to Keybanc in Cleveland doing a lot of work to make the cut

 

Lots of cool tidbid from the data. I just ran IU for example to see placement - 

55% and 60% of BB and EB placement from IU come from IBW (at least to the extent disclosed on LinkedIn), vs just 40% for MM firms and a much smaller % at boutiques. 

Likely real #s are higher as not everyone will disclose but you do see the dispersion in recruiting outcomes. 

 

There's clearly a gap between those schools. Interestingly, this is how the schools would line up if grouped by placement quality instead of quantity. UT and UCLA outperform likely due to being targets for Houston and SF/LA while Michigan, UVA, Dartmouth, and Brown surprisingly get pushed down to the 2nd group based on this data.

Targets (~70+% BB and EB): Penn, NYU, UChicago, Cornell, Georgetown, UT, Columbia, Northwestern, Duke, Harvard, Berkeley, Princeton, UCLA, Yale

Semi-targets (~50-60% BB and EB): IU, Michigan, Notre Dame, BC, USC, UVA, Vanderbilt, Emory, Northeastern, UNC, Dartmouth,  Brown, WashU, 

 

You're right. I was just thinking about the stereotypes of the schools but this shows NYU to be in line with top targets in quality

 

This already seems 10x more accurate than that PeakFrameworks analysis a while ago

 

This doesn't really matter because no one will pick schools like IU or NYU over Princeton, Yale, or Brown. These three ivies only have max 100 who srsly consider and prep for IBD recruiting, while IU and NYU have 600 people business schools with 75% gunning for IBD. But good data collection. I also attend one of the Duke, UChicago, Northwestern, Darty, Cornell type of school, so pretty much unbiased here.

 

Yes, clearly HYP have far better finance placement per capita but the data does help when picking between schools in the same tier

 

Stern over brown isn’t unheard of ngl, not saying it’s the right choice though

 
Most Helpful

I went through the (painful) work of actually determining if these analysts are in IB vs. other functions, which makes the data more accurate. It's also broken out by group which takes a bit of work to map. 

Will be releasing a few more interesting data points in coming days. Have some fun figures on military recruiting for example I'm cooking up. 

 

Schools that went down: UC Berkeley, Harvard, BYU, Yale, Western Ivey

Schools that went up: Indiana, UChicago, Boston College, Vanderbilt

Key difference is PF was 2008-2023 while this is probably 2024-2025 grad dates and includes MM banks

 

 

Can someone do the same shit for MF PE/UMM PE. Would love to see how  Banks, Groups, Schools stack up

 

surprised how close ucla and ucb are. even more surprised how much usc is ahead of both.

for all the simps for ucb, usc/ucla seem a better deal, if you're in-state for ucla, or if you can afford usc for better recruiting prospects. no need to spend 4 years in a drug-infested homeless camp when you can go to school in socal for the same/better.

 

Would you say that Vandy is actually accelerating very well and they are becoming more prestigious on the street? How would you compare UVA to them? UVA-McIntire?

 

Target level placements the past 2 years, but the PJT Park Hill incident may throw a minor wrench in it.

 

My product is currently geared towards IB recruiting, so I've been laser focused on getting bankers in. So no - PE is on the roadmap (helping inform folks what groups/firms exit where) but not quite there yet.

I feel the PE route is not very monetizable given recruiting is gated by HHs so have deferred that in favor of getting a really rich IB dataset first

 

From this list, looks like the tiers are (adjusting for quality and school size/interest (per capita)

1 Wharton UChicago Harvard Princeton
2 Columbia Northwestern Duke
3 NYU Cornell Georgetown Dartmouth Brown
4 Michigan UVA Berkeley USC Notre Dame Vanderbilt
5 Indiana UNC UT Austin BC Emory UCLA WashU
6 Northeastern Florida SMU Wisconsin
7 Ohio State

Seems to track. Surprising (high): Chicago, Georgetown, USC. Surprising (low): Michigan

Also interesting: this list tracks with acceptance rates far better than conventional wisdom/what the subjective rankings on this forum say. NYU/Georgetown up with some low ivies, Michigan down, Northwestern up with md-ivies

 

I know it isnt really possible to filter for how many people are actually trying to recruit for banking, but I feel like for schools like UVA, that are very consulting focused with only a minority recruiting for banking, this can be a little misleading.

 

Hey guys - 

Just a heads up I am working on an updated version of this with (a) slightly fuller data, there is probably slight under-counting here, (b) broken out by class year so we can see the evolution of placement and going back several years, and (c) tracking exits by both bank and group, also over time. 

This will take a couple of months - if you'd like to see it, those who sign up to SuperdayIQ will receive the report first thing when it comes out. 

Thanks all for engaging! Was a fun/rewarding project independent of the business idea. :) 

 

I wonder where all those UVA apologists went after seeing this… Threw so much MS at me for stating Stern easily outdoes their semi-target

 

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