1 00:00:02,560 --> 00:00:06,880 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,920 --> 00:00:13,760 Speaker 2: Bloomberg's Nishan Kumar has covered hedge funds for nearly fifteen years. 3 00:00:13,960 --> 00:00:16,759 Speaker 1: This is the most exciting job on planet, given the 4 00:00:16,880 --> 00:00:23,239 Speaker 1: kind of people personalities in money, Boom and bust and A. 5 00:00:23,280 --> 00:00:27,680 Speaker 2: Shant says that historically hedge funds haven't had much trouble 6 00:00:27,840 --> 00:00:28,760 Speaker 2: finding workers. 7 00:00:29,080 --> 00:00:31,720 Speaker 1: Well, it's a dream job, isn't it if you are 8 00:00:31,760 --> 00:00:32,400 Speaker 1: made for it. 9 00:00:32,440 --> 00:00:36,320 Speaker 2: That is, last year, he says, more than eighty thousand 10 00:00:36,360 --> 00:00:39,680 Speaker 2: people applied just to intern at the top tier hedge 11 00:00:39,720 --> 00:00:40,720 Speaker 2: fund Citadel. 12 00:00:41,240 --> 00:00:45,240 Speaker 1: Just zero point five percent of those applicants get selected 13 00:00:45,600 --> 00:00:48,479 Speaker 1: to be an intern. Forget about jobs, just to be 14 00:00:48,560 --> 00:00:53,080 Speaker 1: an intern at these firms. It's easier to get into 15 00:00:53,280 --> 00:00:56,720 Speaker 1: MIIT or Harvard, which has a success rate of around 16 00:00:56,720 --> 00:00:59,640 Speaker 1: three to four percent. Actually, so that's the audio are 17 00:00:59,680 --> 00:01:00,639 Speaker 1: talking about. 18 00:01:00,840 --> 00:01:02,680 Speaker 2: It's not great odds, not. 19 00:01:03,040 --> 00:01:06,080 Speaker 1: At all, not at all, but you know it has 20 00:01:06,120 --> 00:01:12,120 Speaker 1: its rewards. What do interns get paid at Citadel? It 21 00:01:12,240 --> 00:01:18,960 Speaker 1: could be as high as about nineteen thousand dollars per month. 22 00:01:19,680 --> 00:01:21,479 Speaker 2: Nineteen thousand dollars a month. 23 00:01:21,840 --> 00:01:24,440 Speaker 1: Yeah, I don't think many journeys get bid. 24 00:01:24,319 --> 00:01:25,920 Speaker 2: That, certainly not. 25 00:01:26,280 --> 00:01:32,240 Speaker 1: But that's just the start. That's just the start. 26 00:01:35,760 --> 00:01:38,920 Speaker 2: Hedge funds have created dozens of billionaires in the last 27 00:01:38,959 --> 00:01:42,280 Speaker 2: twenty years as the industry has boomed. In two thousand 28 00:01:42,280 --> 00:01:45,640 Speaker 2: and eight, hedge funds managed about one point four trillion dollars. 29 00:01:46,080 --> 00:01:50,120 Speaker 2: Today they manage four point three trillion. They've more than 30 00:01:50,160 --> 00:01:53,720 Speaker 2: tripled their assets in less than two decades. These funds 31 00:01:53,800 --> 00:01:57,720 Speaker 2: typically practice riskier investment strategies with the hope of seeing 32 00:01:57,920 --> 00:02:03,480 Speaker 2: massive returns, and it's been paying off. All that money 33 00:02:03,520 --> 00:02:06,559 Speaker 2: flowing into hedge funds coffers has meant they've needed more 34 00:02:06,640 --> 00:02:09,760 Speaker 2: and more people to manage it, and a Shant says 35 00:02:09,919 --> 00:02:12,840 Speaker 2: in all out talent war has been royaling the world's 36 00:02:12,840 --> 00:02:16,120 Speaker 2: top hedge funds. That's led to the creation of something 37 00:02:16,240 --> 00:02:20,880 Speaker 2: unprecedented in the industry, in house hedge fund boot camps, 38 00:02:21,520 --> 00:02:24,760 Speaker 2: cutthroat training grounds meant to build out the next generation 39 00:02:24,960 --> 00:02:27,919 Speaker 2: of star hedge fund traders. In a sector that's gotten 40 00:02:28,160 --> 00:02:31,320 Speaker 2: very large, very fast. It sounds a little like it's 41 00:02:31,320 --> 00:02:34,160 Speaker 2: pulled straight out of a season of industry on HBO, 42 00:02:34,680 --> 00:02:36,520 Speaker 2: or maybe the other way around. 43 00:02:36,880 --> 00:02:40,440 Speaker 1: I find industry to be a bit exaggerated. 44 00:02:42,040 --> 00:02:45,959 Speaker 2: I've been watching a lot of industry lately yeah. Today 45 00:02:46,000 --> 00:02:48,760 Speaker 2: on the show, the lengths hedge funds are going to 46 00:02:48,800 --> 00:02:51,800 Speaker 2: cultivate top talent and what the rise of the hedge 47 00:02:51,840 --> 00:02:54,480 Speaker 2: fund boot camp means for one of the world's most 48 00:02:54,520 --> 00:03:04,400 Speaker 2: competitive industries. Hedge funds are pressure cookers, and Ashan says 49 00:03:04,600 --> 00:03:06,280 Speaker 2: not everyone is cut out for them. 50 00:03:07,000 --> 00:03:11,200 Speaker 1: Talent is a given. You need to be super bright, 51 00:03:11,720 --> 00:03:16,240 Speaker 1: expert at your subjects. That's just the basic stuff. The 52 00:03:16,360 --> 00:03:20,959 Speaker 1: main qualities are temperament and if you can handle all 53 00:03:21,000 --> 00:03:24,960 Speaker 1: the stresses that come with it. You need to be 54 00:03:25,400 --> 00:03:32,840 Speaker 1: absolutely on your toes to survive in this truly Darwinian industry. 55 00:03:32,960 --> 00:03:36,320 Speaker 1: You are as good as your last trade, no matter 56 00:03:36,360 --> 00:03:37,000 Speaker 1: who you are. 57 00:03:38,840 --> 00:03:42,720 Speaker 2: Part of what creates that Darwinian dynamic is that hedge 58 00:03:42,720 --> 00:03:46,440 Speaker 2: fund investments tend to be riskier, and if your portfolio 59 00:03:46,560 --> 00:03:51,440 Speaker 2: doesn't meet strict performance standards, the consequences are swift and severe. 60 00:03:51,840 --> 00:03:57,880 Speaker 1: It's highly highly competitive. If you lose five percent at 61 00:03:57,880 --> 00:04:01,640 Speaker 1: some of these hedge fund your capital will be cut 62 00:04:01,680 --> 00:04:05,920 Speaker 1: into half. If you lose two percent more on top 63 00:04:05,960 --> 00:04:07,680 Speaker 1: of that, you are fired. 64 00:04:08,160 --> 00:04:11,800 Speaker 2: That is a razor thin margin. To put that into perspective, 65 00:04:12,000 --> 00:04:14,040 Speaker 2: Nashan looked at the track record of one of the 66 00:04:14,040 --> 00:04:15,800 Speaker 2: world's most storied investors. 67 00:04:16,400 --> 00:04:19,839 Speaker 1: Just imagine how likely it is for a stock to 68 00:04:19,920 --> 00:04:23,760 Speaker 1: move by seven percent in a day. If Warren Buffett 69 00:04:24,160 --> 00:04:27,880 Speaker 1: worked at one of these hedge funds and looking at 70 00:04:27,920 --> 00:04:31,960 Speaker 1: his stock price, he could have got fired on eight 71 00:04:32,000 --> 00:04:36,120 Speaker 1: occasions over the last more than ten years. So that's 72 00:04:36,200 --> 00:04:38,680 Speaker 1: how tough it is to survive in this industry. 73 00:04:39,000 --> 00:04:43,359 Speaker 2: Those kinds of steaks, unlimited upside, with zero room for error, 74 00:04:43,839 --> 00:04:48,599 Speaker 2: create an extremely demanding environment sink or swim. 75 00:04:48,920 --> 00:04:49,360 Speaker 1: And in the. 76 00:04:49,360 --> 00:04:52,719 Speaker 2: Past, hedge funds have traditionally relied on a steady stream 77 00:04:52,800 --> 00:04:55,800 Speaker 2: of seasoned professionals, people who could walk in and be 78 00:04:55,880 --> 00:04:59,320 Speaker 2: trusted to successfully manage hundreds of millions or a billion 79 00:04:59,360 --> 00:05:01,640 Speaker 2: dollars worth of client money on day one. 80 00:05:02,080 --> 00:05:04,760 Speaker 1: So if you look at the evolution of hedge fund 81 00:05:04,800 --> 00:05:09,320 Speaker 1: industry over the last three decades, most of the superstars 82 00:05:09,360 --> 00:05:15,560 Speaker 1: Beat Alan Howard, Michael Platt, Steve Cohen, Ken Griffin, all 83 00:05:15,640 --> 00:05:21,120 Speaker 1: these personalities worked at one or other investment banks. 84 00:05:21,520 --> 00:05:24,479 Speaker 2: In other words, investment banks were a key part of 85 00:05:24,520 --> 00:05:26,320 Speaker 2: the hedge fund talent pipeline. 86 00:05:26,760 --> 00:05:31,120 Speaker 1: They took risk with banks owned capital, they made billions 87 00:05:31,160 --> 00:05:34,840 Speaker 1: out of it for themselves and for their companies and 88 00:05:34,880 --> 00:05:38,440 Speaker 1: that was the true, real training ground for a lot 89 00:05:38,480 --> 00:05:39,680 Speaker 1: of these star traders. 90 00:05:40,160 --> 00:05:43,120 Speaker 2: Nashan says, the financial crisis of two thousand and eight 91 00:05:43,279 --> 00:05:47,240 Speaker 2: started to change the game. Those higher risk oriented desks 92 00:05:47,240 --> 00:05:50,520 Speaker 2: at investment banks where today's hedge fund titans cut their teeth, 93 00:05:50,960 --> 00:05:54,240 Speaker 2: were rained in. But the industry boomed in the years 94 00:05:54,240 --> 00:05:56,719 Speaker 2: that followed, and there were still enough people who had 95 00:05:56,760 --> 00:05:59,919 Speaker 2: that banking background to propel hedge funds to new heights. 96 00:06:00,480 --> 00:06:04,799 Speaker 1: A number of these prop traders from banks moved out 97 00:06:05,080 --> 00:06:08,760 Speaker 1: and started their own hedge funds, or they started to 98 00:06:08,880 --> 00:06:10,640 Speaker 1: work for other hedge funds. 99 00:06:11,080 --> 00:06:14,200 Speaker 2: It was broadly speaking, a great time to be a 100 00:06:14,200 --> 00:06:18,400 Speaker 2: successful analyst or portfolio manager. These types of traders were 101 00:06:18,440 --> 00:06:21,400 Speaker 2: in high demand, and the way for hedge funds to 102 00:06:21,480 --> 00:06:25,280 Speaker 2: win was to have a better roster of superstar traders 103 00:06:25,520 --> 00:06:26,719 Speaker 2: than their competitors. 104 00:06:27,120 --> 00:06:30,920 Speaker 1: All these large hedge funds, they have dozens and dozens 105 00:06:30,960 --> 00:06:35,400 Speaker 1: of people who are just keeping a track of who 106 00:06:35,440 --> 00:06:39,640 Speaker 1: are the good people working at their rival, not only 107 00:06:39,880 --> 00:06:44,279 Speaker 1: portfolio managers, but even the analyst Who are the great 108 00:06:44,320 --> 00:06:49,440 Speaker 1: analysts who are just emerging, who could be a great 109 00:06:49,480 --> 00:06:52,960 Speaker 1: portfolio manager in future, and they are looking at the 110 00:06:53,080 --> 00:06:57,320 Speaker 1: right opportunity to attack them and convince them to switch. 111 00:06:58,160 --> 00:07:02,200 Speaker 1: So the party lasted for a few years because you know, 112 00:07:02,240 --> 00:07:05,080 Speaker 1: there were still many traders to pick from. 113 00:07:05,120 --> 00:07:07,919 Speaker 2: But as the pipeline problem eventually caught up to the 114 00:07:07,960 --> 00:07:12,320 Speaker 2: firm's talent started getting scarcer and convincing people to switch 115 00:07:12,520 --> 00:07:16,960 Speaker 2: started getting much more expensive. I asked Naseean, just how 116 00:07:17,000 --> 00:07:18,000 Speaker 2: much more expensive? 117 00:07:18,440 --> 00:07:23,480 Speaker 1: I mean, cordiners, like I knew about someone getting paid 118 00:07:23,800 --> 00:07:27,160 Speaker 1: more than one hundred and twenty million in guaranteed. I'm 119 00:07:27,160 --> 00:07:30,080 Speaker 1: not sure that's one off case. There might be a 120 00:07:30,120 --> 00:07:33,800 Speaker 1: few others like that. I've heard that, Like, there have 121 00:07:33,880 --> 00:07:36,920 Speaker 1: been a few cases of fifteen million dollar plus payouts, 122 00:07:37,400 --> 00:07:42,600 Speaker 1: and ten to fifteen million is becoming more frequent. So 123 00:07:42,800 --> 00:07:48,120 Speaker 1: just think about it. You leave your job, agree to 124 00:07:48,240 --> 00:07:53,040 Speaker 1: join your rival, and your rival is saying, okay, I'll 125 00:07:53,040 --> 00:07:57,920 Speaker 1: pay you ten million dollars even before you start making 126 00:07:57,960 --> 00:07:58,560 Speaker 1: money for me. 127 00:08:00,120 --> 00:08:03,200 Speaker 2: This worked for a while, but in more recent years, 128 00:08:03,280 --> 00:08:06,560 Speaker 2: Nashan says a new trend has emerged, in part because 129 00:08:06,560 --> 00:08:10,520 Speaker 2: the industry has shifted away from its focus on superstar talents. 130 00:08:11,120 --> 00:08:14,960 Speaker 1: So the problem with individual traders is you are relying 131 00:08:15,040 --> 00:08:19,600 Speaker 1: on the intelligence of one person to take the right 132 00:08:19,680 --> 00:08:24,880 Speaker 1: call and be right all the time. It doesn't happen 133 00:08:24,960 --> 00:08:27,440 Speaker 1: that way. If you look at returns of some of 134 00:08:27,480 --> 00:08:31,000 Speaker 1: those individual hetch fund managers, they will have a few 135 00:08:31,080 --> 00:08:35,040 Speaker 1: great years and then they will blow up. Like we 136 00:08:35,120 --> 00:08:40,439 Speaker 1: see several dozen cases of this kind every year. Even 137 00:08:40,480 --> 00:08:44,480 Speaker 1: the rock star traders, they will keep making money and 138 00:08:44,520 --> 00:08:46,640 Speaker 1: then lose everything in one year. 139 00:08:47,400 --> 00:08:50,360 Speaker 2: One strategy that's taken hold at dominant firms like er 140 00:08:50,400 --> 00:08:54,120 Speaker 2: point seventy two or Millennium or Citadel is to build 141 00:08:54,360 --> 00:08:56,240 Speaker 2: huge teams of traders. 142 00:08:56,720 --> 00:09:01,400 Speaker 1: Find all these bright individuals and put them together and 143 00:09:01,520 --> 00:09:04,280 Speaker 1: bind them in chains that look, you can't lose money. 144 00:09:04,800 --> 00:09:07,760 Speaker 1: Of course, make as much money as you want, but 145 00:09:07,880 --> 00:09:11,760 Speaker 1: just you can't lose money. And if you combine a 146 00:09:11,840 --> 00:09:15,560 Speaker 1: number of those individuals intelligently, and if you risk manage 147 00:09:15,600 --> 00:09:19,800 Speaker 1: them properly, give them all the resources to prosper give 148 00:09:19,840 --> 00:09:24,440 Speaker 1: them enough capital to manage, the end result is quite good. 149 00:09:25,000 --> 00:09:28,199 Speaker 2: That new approach has helped some top firms see returns 150 00:09:28,240 --> 00:09:31,319 Speaker 2: of ten percent or better. It gives them an edge. 151 00:09:31,800 --> 00:09:34,960 Speaker 2: According to data compiled by Bloomberg, the average hedge fund 152 00:09:35,080 --> 00:09:38,960 Speaker 2: had a return of about eight percent last year. But 153 00:09:39,000 --> 00:09:42,120 Speaker 2: this strategy relies on having a lot of capable people, 154 00:09:42,720 --> 00:09:45,480 Speaker 2: people who have only grown harder and harder to find 155 00:09:45,559 --> 00:09:49,480 Speaker 2: since the investment bank training ground disappeared. The talent is 156 00:09:49,520 --> 00:09:52,600 Speaker 2: so scarce at this point it's impacting how much money 157 00:09:52,640 --> 00:09:53,800 Speaker 2: hedge funds can accept. 158 00:09:54,440 --> 00:09:57,760 Speaker 1: I wrote a story and I tracked top twenty of 159 00:09:57,800 --> 00:10:01,520 Speaker 1: these large hedge funds. The majority of them are no 160 00:10:01,600 --> 00:10:06,080 Speaker 1: longer accepting new capital. That's only because they can't hire 161 00:10:06,480 --> 00:10:11,360 Speaker 1: people who could manage those additional capital. So this is 162 00:10:11,360 --> 00:10:14,400 Speaker 1: called the capacity issue in the industry. 163 00:10:14,800 --> 00:10:17,840 Speaker 2: That's why, for the first time, hedge funds are trying 164 00:10:17,920 --> 00:10:23,080 Speaker 2: a new strategy. Rather than assembling teams of elite investing mercenaries, 165 00:10:23,400 --> 00:10:26,880 Speaker 2: they're building their own armies, and that means they're putting 166 00:10:26,960 --> 00:10:31,839 Speaker 2: these someday managers through basic training. So what happens at 167 00:10:31,880 --> 00:10:34,800 Speaker 2: hedge fund training camps and what does the shift mean 168 00:10:34,840 --> 00:10:47,400 Speaker 2: for the industry. That's after the break Over the last 169 00:10:47,400 --> 00:10:51,040 Speaker 2: twenty years, as the industry grew and traditional pathways to 170 00:10:51,080 --> 00:10:54,679 Speaker 2: hedge funds dried up, the field got more competitive and 171 00:10:54,760 --> 00:10:58,640 Speaker 2: hedge funds found themselves entrenched in a poaching war. So 172 00:10:58,960 --> 00:11:02,560 Speaker 2: they decided to try something new. Instead of finding the 173 00:11:02,600 --> 00:11:06,760 Speaker 2: perfect trader, they wanted to create the perfect trader from scratch. 174 00:11:08,400 --> 00:11:12,280 Speaker 2: The Academy is our program to take investment talent without 175 00:11:12,360 --> 00:11:15,439 Speaker 2: any background or experience and turn them into long short 176 00:11:15,440 --> 00:11:18,079 Speaker 2: investors at our firm. That's a clip from the Point 177 00:11:18,120 --> 00:11:21,679 Speaker 2: seventy two Academy podcast. It's a training series produced by 178 00:11:21,720 --> 00:11:24,480 Speaker 2: the Point seventy two Hedge Fund that gives a taste 179 00:11:24,559 --> 00:11:29,559 Speaker 2: of how their program molds promising new hires into formidable investors. 180 00:11:30,200 --> 00:11:33,200 Speaker 2: How does a hedge fund boot camp do that? What 181 00:11:33,400 --> 00:11:36,199 Speaker 2: happens inside those walls. 182 00:11:36,640 --> 00:11:45,559 Speaker 1: So it's a long process. It's training slash mentoring slash 183 00:11:45,600 --> 00:11:51,240 Speaker 1: on the job experience. So of course in turns are fresh, 184 00:11:51,960 --> 00:11:56,319 Speaker 1: so they will have more classroom teachings or more formal 185 00:11:56,400 --> 00:12:00,319 Speaker 1: kind of teaching. If you are an analyst who has 186 00:12:00,400 --> 00:12:05,840 Speaker 1: joined one of these programs, more like on the job experience. 187 00:12:06,440 --> 00:12:09,720 Speaker 1: If you are a portfolio manager, say junior portfolio manager 188 00:12:09,840 --> 00:12:13,600 Speaker 1: or senior portfolio manager, who is being trained to become 189 00:12:13,640 --> 00:12:18,240 Speaker 1: a portfolio manager, that would be like managing real money 190 00:12:18,760 --> 00:12:24,400 Speaker 1: with certain constraint with someone overlooking you. That sort of approach. 191 00:12:25,320 --> 00:12:30,240 Speaker 1: So it could be as simple as you know, talking 192 00:12:30,280 --> 00:12:35,679 Speaker 1: to experienced portfolio managers, giving them that opportunity to talk 193 00:12:35,720 --> 00:12:38,520 Speaker 1: to some of these experienced people and learn from them, 194 00:12:39,200 --> 00:12:44,640 Speaker 1: learn about their successes, their mistakes. You know, how they 195 00:12:44,679 --> 00:12:49,160 Speaker 1: behave in a certain market conditions, how they look at securities. 196 00:12:49,800 --> 00:12:52,160 Speaker 1: You know, what kind of questions they ask when they 197 00:12:52,200 --> 00:12:57,040 Speaker 1: meet management, what kind of body language they observe. That 198 00:12:57,080 --> 00:13:00,760 Speaker 1: these are simple things, but when you learn from a pro, 199 00:13:01,559 --> 00:13:05,920 Speaker 1: you can really inherit those qualities. And if you keep 200 00:13:05,920 --> 00:13:09,760 Speaker 1: on doing it repeatedly, you sort of become a person 201 00:13:10,280 --> 00:13:12,680 Speaker 1: like him, or even better than him. 202 00:13:12,840 --> 00:13:16,360 Speaker 2: And how are these trainees being assessed? How can you excel? 203 00:13:16,880 --> 00:13:22,880 Speaker 1: So everyone is looking for different things. The inflection points 204 00:13:22,880 --> 00:13:27,880 Speaker 1: that when is a person ready to manage a billion 205 00:13:27,920 --> 00:13:33,960 Speaker 1: dollars or money? And it really varies. So, for example, 206 00:13:34,000 --> 00:13:38,000 Speaker 1: Hedgeman's would like to see in you whether you are 207 00:13:38,120 --> 00:13:42,520 Speaker 1: able to build a team around you, whether you have 208 00:13:42,640 --> 00:13:50,000 Speaker 1: capacity to risk real dollars on ideas generated by someone else. 209 00:13:51,000 --> 00:13:54,960 Speaker 1: Once you do it, maybe you know over a period 210 00:13:55,000 --> 00:13:57,880 Speaker 1: of times, at twelve months, which is the case at 211 00:13:58,080 --> 00:14:01,240 Speaker 1: Ballyasni for example, a minimum of twelve months where you 212 00:14:01,360 --> 00:14:07,520 Speaker 1: need to prove yourself, then you might be ready to 213 00:14:07,640 --> 00:14:09,360 Speaker 1: take over as a portfolio manager. 214 00:14:10,160 --> 00:14:13,319 Speaker 2: So how has this conveyor belt of talent or assembly 215 00:14:13,400 --> 00:14:16,840 Speaker 2: line of talent worked out. So far for hedge funds. 216 00:14:16,720 --> 00:14:20,080 Speaker 1: So far, so good. Actually, if you look at point 217 00:14:20,160 --> 00:14:23,800 Speaker 1: seventy two, more than half of their stock pickers come 218 00:14:23,920 --> 00:14:29,600 Speaker 1: through their training program. The average tenure life of a 219 00:14:29,680 --> 00:14:33,480 Speaker 1: trader at point seventy two has been six years. Now, 220 00:14:33,800 --> 00:14:37,160 Speaker 1: that's their data. If you look at hetch funds that 221 00:14:37,240 --> 00:14:42,280 Speaker 1: have shot, their life has been six point six years. 222 00:14:42,840 --> 00:14:46,920 Speaker 1: So hetche funes don't survive that long. Forget about individual traders. 223 00:14:47,520 --> 00:14:51,800 Speaker 1: Let's take Phil Lee, who is the head of one 224 00:14:51,800 --> 00:14:56,120 Speaker 1: of the stocks trading unit at Citadel. He joined the 225 00:14:56,160 --> 00:15:01,040 Speaker 1: firm as an analyst and within ten years, yes, he 226 00:15:01,200 --> 00:15:05,040 Speaker 1: rose to become the head of that business. Wow, that's 227 00:15:05,280 --> 00:15:10,520 Speaker 1: an incredible journey. So you know, these training programs are 228 00:15:10,640 --> 00:15:18,520 Speaker 1: genuinely producing talent. They're genuinely making people stay longer and 229 00:15:18,640 --> 00:15:22,880 Speaker 1: giving hedge funds a real chance that they can find 230 00:15:22,960 --> 00:15:27,440 Speaker 1: another way of hiring people rather than just throwing investors' 231 00:15:27,480 --> 00:15:29,880 Speaker 1: money at the next hot star trader. 232 00:15:30,320 --> 00:15:32,920 Speaker 2: What does the rise of these boot camps mean for 233 00:15:33,000 --> 00:15:33,600 Speaker 2: the industry. 234 00:15:34,000 --> 00:15:38,000 Speaker 1: It's a better way of managing money. See, all of 235 00:15:38,000 --> 00:15:42,320 Speaker 1: these is funded ultimately by end investors. Maybe it's your 236 00:15:42,400 --> 00:15:46,720 Speaker 1: and my pension fund. Of every dollar that a hedge 237 00:15:46,760 --> 00:15:50,080 Speaker 1: fund makes, some of these hedgehunds make, not all sixty 238 00:15:50,200 --> 00:15:55,320 Speaker 1: cents goes to pay for talent, to run their businesses 239 00:15:55,760 --> 00:15:59,960 Speaker 1: and to pay for themselves. If that can be minimized 240 00:16:00,120 --> 00:16:05,000 Speaker 1: little bit, either through growing your talent in house or 241 00:16:05,640 --> 00:16:09,600 Speaker 1: reducing competition as a result, reducing this war for talent, 242 00:16:10,600 --> 00:16:14,760 Speaker 1: then maybe there will be more money left for investors. 243 00:16:15,240 --> 00:16:17,440 Speaker 1: So that's what at stake here. 244 00:16:20,320 --> 00:16:23,320 Speaker 2: This is The Big Take from Bloomberg News. I'm Sarah Holder. 245 00:16:23,800 --> 00:16:26,680 Speaker 2: This episode was produced by David Fox and Jessica Beck. 246 00:16:26,880 --> 00:16:29,880 Speaker 2: It was edited by Aaron Edwards and James Boxel. It 247 00:16:29,960 --> 00:16:32,760 Speaker 2: was mixed by Blake Maples. It was fact checked by 248 00:16:32,760 --> 00:16:37,119 Speaker 2: Adriana Tapia. Naomi Shaven and Kim Gettleson are our senior producers. 249 00:16:37,560 --> 00:16:41,120 Speaker 2: Our senior editor is Elizabeth Ponso. The Cool Beemsterbor is 250 00:16:41,160 --> 00:16:45,200 Speaker 2: our executive producer. Sat Bowman is Bloomberg's head of Podcasts. 251 00:16:45,640 --> 00:16:47,960 Speaker 2: If you liked the episode, make sure to subscribe and 252 00:16:48,000 --> 00:16:50,720 Speaker 2: review The Big Take wherever you listen to podcasts. It 253 00:16:50,760 --> 00:16:53,920 Speaker 2: helps people find the show. Thanks so much for listening. 254 00:16:54,200 --> 00:16:56,600 Speaker 2: We'll be back tomorrow.