Dataset15 statistics
Investment Banking Recruiting Statistics
Original figures from our own dataset: 100 US schools and 18 top investment banks, built from aggregated public professional profiles. Every number on this page is computed from that data rather than collected from elsewhere, and each one is written so it can be quoted directly.
- Statistics on this page
- 15in 4 groups
- Schools measured
- 100
- Top banks measured
- 23each with a feeder-school page
- Largest analyst program
- J.P. Morgan9,048 analysts, ~2015+
Scale of the dataset
4 statisticsCounts of public professional profiles across the schools and banks we measure. Every figure below is computed from the same source, so the numbers reconcile with each other.
- 136,788136,788 alumni profiles across 100 US schools list an investment banking job title.
- 27,90827,908 of those alumni list an analyst title alongside one of 18 top investment banks and graduated in 2013 or later.
- 9,048J.P. Morgan has the largest measured analyst population of any bank at 9,048 people from classes of roughly 2015 onward.
- 97.8The median US school in the ranking produces 97.8 investment banking alumni profiles per 1,000 undergraduates.
How concentrated banking recruiting really is
4 statisticsTarget-school arguments assume a handful of schools own the analyst classes. The measured shares are more spread out than that.
- 6.6%No school supplies more than 6.6% of any single top bank's analysts — the peak is Harvard University at Centerview, with 30 people.
- 35%The 10 strongest schools account for 35% of all analysts at the 18 top banks we measure.
- 65%The top 25 schools account for 65% of measured analysts at top banks, leaving the rest spread across every other school.
- 1,345Columbia University places the most analysts into top banks of any US school, with 1,345 from classes of roughly 2015 onward.
Which pipelines are growing
3 statisticsComparing analysts who graduated in 2018 or later against the full 2013-onward population shows which school pipelines are being built now rather than decades ago. Schools with at least 100 top-bank analysts qualify.
- 87%87% of Williams College's top-bank analysts graduated in 2018 or later, the highest share of any school with a substantial pipeline.
- 86%University of Chicago is the fastest-rising large pipeline: 86% of its 834 top-bank analysts graduated in 2018 or later.
- 67%George Washington University has the most legacy-weighted pipeline measured, with 67% of its top-bank analysts from 2018 or later.
Elite firms and buyside mix
4 statisticsWhere a school’s alumni concentrate once they are in the industry, measured at the five firms most often labelled elite and across the buyside verticals.
- 63%63% of MIT's top-bank analysts are at Goldman Sachs, Morgan Stanley, J.P. Morgan, Evercore, or Centerview — the highest elite-firm concentration measured.
- 2,861Columbia University leads private equity with 2,861 alumni profiles carrying a private equity job title.
- 29Stanford University has the most venture-tilted alumni network: 29 venture capital profiles for every 100 investment banking profiles.
- 78Florida State University has the most private-equity-tilted network at 78 private equity profiles per 100 investment banking profiles.
Analyst population by bank
23 banks · classes of ~2015+Profiles listing each bank alongside an investment banking analyst title, who graduated in 2013 or later — the analyst classes of roughly 2015 onward. Each row also names the largest single feeder school we measured for that bank.
- 1J.P. MorganTop feeder: Columbia University9,048
- 2Goldman SachsTop feeder: Harvard University8,114
- 3Bank of AmericaTop feeder: Columbia University6,590
- 4Morgan StanleyTop feeder: Columbia University5,987
- 5CitiTop feeder: Columbia University5,804
- 6UBSTop feeder: Cornell University4,098
- 7BarclaysTop feeder: Cornell University3,567
- 8Deutsche BankTop feeder: Duke University3,541
- 9Wells FargoTop feeder: UNC Chapel Hill2,919
- 10HSBCTop feeder: Columbia University2,790
- 11JefferiesTop feeder: University of Virginia2,758
- 12RBC Capital MarketsTop feeder: Cornell University2,484
- 13LazardTop feeder: University of Pennsylvania2,238
- 14Houlihan LokeyTop feeder: University of Virginia1,980
- 15EvercoreTop feeder: University of Pennsylvania1,883
- 16Piper SandlerTop feeder: University of Virginia1,444
- 17MoelisTop feeder: University of Pennsylvania1,369
- 18StifelTop feeder: University of Virginia1,297
- 19Raymond JamesTop feeder: University of Virginia1,286
- 20GuggenheimTop feeder: Cornell University1,045
- 21Perella WeinbergTop feeder: UC Berkeley717
- 22PJT PartnersTop feeder: University of Pennsylvania598
- 23CenterviewTop feeder: Harvard University458
Which schools feed which banks
Share of each school’s analystsThe same data as a grid. Read across a row to see where one school’s analysts land, and down a column to see who a bank draws on. Shading is each school’s own share, so a small school with a lopsided pipeline reads as strongly as a large one.
Analysts from each school at each of the 18 top banks, classes of roughly 2015 onward. Shading is each school’s own row share, so rows are comparable regardless of size.
| School | Goldman Sachs | J.P. Morgan | Morgan Stanley | Bank of America | Citi | Barclays | UBS | Deutsche Bank | Wells Fargo | Evercore | Centerview | Lazard | Moelis | PJT Partners | Perella Weinberg | Jefferies | Houlihan Lokey | RBC Capital Markets |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Columbia University#1 | 255 | 247 | 211 | 200 | 172 | 105 | 92 | 68 | 38 | 53 | 13 | 53 | 29 | 15 | 16 | 43 | 29 | 45 |
| Harvard University#2 | 299 | 200 | 188 | 169 | 112 | 83 | 70 | 49 | 25 | 40 | 30 | 46 | 17 | 21 | 10 | 30 | 22 | 22 |
| University of Pennsylvania#3 | 208 | 191 | 160 | 144 | 113 | 72 | 54 | 51 | 44 | 76 | 26 | 54 | 52 | 29 | 22 | 52 | 37 | 39 |
| Georgetown University#4 | 107 | 124 | 100 | 131 | 97 | 83 | 81 | 36 | 33 | 37 | 15 | 36 | 15 | 11 | 14 | 60 | 28 | 37 |
| Yale University#5 | 183 | 126 | 114 | 117 | 74 | 82 | 61 | 23 | 22 | 33 | 19 | 27 | 11 | 14 | 6 | 29 | 17 | 15 |
| University of Chicago#6 | 137 | 158 | 119 | 116 | 80 | 28 | 52 | 55 | 21 | 33 | 20 | 50 | 20 | 13 | 13 | 21 | 29 | 29 |
| Duke University#7 | 129 | 97 | 102 | 107 | 84 | 46 | 40 | 70 | 46 | 19 | 8 | 33 | 17 | 6 | 9 | 34 | 13 | 50 |
| Cornell University#8 | 175 | 214 | 128 | 157 | 156 | 107 | 104 | 48 | 51 | 66 | 13 | 39 | 24 | 13 | 5 | 45 | 16 | 62 |
| University of Virginia#10 | 69 | 105 | 60 | 80 | 55 | 40 | 43 | 22 | 102 | 35 | 7 | 25 | 10 | 13 | 5 | 105 | 62 | 19 |
| Dartmouth College#11 | 113 | 48 | 86 | 73 | 46 | 22 | 18 | 30 | 14 | 24 | 17 | 20 | 5 | 6 | · | 50 | 8 | 8 |
| UC Berkeley#12 | 150 | 126 | 141 | 92 | 94 | 61 | 56 | 54 | 72 | 22 | 12 | 32 | 23 | 5 | 24 | 31 | 24 | 23 |
| Stanford University#14 | 134 | 86 | 108 | 82 | 47 | 22 | 27 | 21 | 16 | 22 | 8 | 17 | 10 | · | 6 | 31 | 9 | 12 |
| MIT#19 | 101 | 86 | 73 | 47 | 35 | 17 | 25 | 21 | 5 | 15 | · | 13 | 10 | 9 | · | 12 | 9 | · |
| Northwestern University#20 | 85 | 80 | 65 | 84 | 48 | 35 | 38 | 40 | 17 | 38 | 6 | 28 | 27 | 12 | 6 | 20 | 21 | 5 |
| New York University#21 | 116 | 142 | 114 | 93 | 89 | 57 | 55 | 37 | 38 | 30 | 7 | 31 | 19 | 11 | 6 | 28 | 16 | 30 |
Method and limits
Counts come from People Data Labs, which aggregates public professional profiles. School figures count anyone listing the school in their education whose job title has ever contained “investment banking”. Bank figures are stricter: they require an “investment banking analyst” title at that bank and a graduation year of 2013 or later, which excludes other divisions — equity research, sales and trading, asset management, and wealth management titles never contain the phrase — along with summer-analyst internships.
Three limits worth stating whenever these numbers are quoted. The source covers a subset of LinkedIn, so absolute counts are floors rather than exact populations. Profile data can pair a job title and an employer drawn from different roles in the same person’s history, which inflates bank counts slightly. People titled simply “Analyst” are missed, which deflates counts fairly evenly across schools. The rankings hold up better than any single absolute number.
