IB group sweatiness tiers

We all know some banks are sweatier than others… what about groups? What makes some groups sweatier than others? Proposed list below, would love to hear others thoughts:

Tier 1: Sweaty

  • Energy & Power, Financial Institutions: General “old school”, backwards looking clientele and traditional senior bankers, which trickles down
  • M&A: Constantly working on high pressure live deals, typically a big milestone in a client’s history which makes for a sweaty experience 

    Tier 2: Moderate Sweatiness / YMMV
  • Industrials, HC: Large universe of potential clients to pitch to, fragmented market share means most industrials/ HC groups across the street are at least somewhat sweaty
  • TMT: Large universe but more concentrated towards the few top players & top banks. Generally sweaty at the higher prestige banks (GS, boutiques etc) and on the lighter side at lower tier banks
  • LevFin: can be sweaty at the top balance sheet banks (JPM), less sweaty elsewhere 

    Tier 3: Least Sweaty

  • Consumer, REGAL: Newer school clientele, typically care more about marketing/visuals vs technicals, slower sectors the past few years
  • ECM: generally not sweaty in terms of hours in the office (unless the public equity markers are absolutely ripping like 2021), juniors generally copy/paste market data and the value lies with seniors ability to place paper

    Thoughts?
     

19 Comments
 

M&T is way more sweaty than pure tech usually due to telecom being more modeling-intensive. Tech is either very sweaty if in a top like ~10 bank in the space or very chill if not. Tech is the space with the largest variance. Telecom, particularly, digital telecom stuff, gets extremely sweaty. Industrials are always sweaty just due to their varied nature; it's sweaty across cycles since some industrial subsectors are more cyclical than others. Industrial also gets worsened hours-wise due to the old school nature of the majority of clients, old school clients + vast universe = extreme sweat. The rest seem more or less accurate.

 

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