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Finding Signal in the Noise: Machine Learning and the Markets (Jane Street)

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Re: Finding Signal in the Noise: Machine Learning and the Markets (Jane Street)

#151

Post by laidoffamazon »

saagarjha wrote: post #149
laidoffamazon wrote: post #67

Earlier quoted context omitted.

I genuinely don't think people that went to Exeter and Harvard (or MIT or Stanford or Penn or other JS feeder schools) see the rest of us as human unless there's another common factor like being employed by Jane Street and having those quirky hobbies the rest of them do - and then they rationalize it away by saying that the exceptions didn't apply to top schools, or were admitted but didn't attend for "financial reas…

You're putting words in their mouth

And yet, am I wrong? This is basically how they think

Re: Finding Signal in the Noise: Machine Learning and the Markets (Jane Street)

#152

Post by fireburning »

foobar10000 wrote: post #59
fireburning wrote: post #28

Earlier quoted context omitted.

ever meet any such engineers from the bottom 20% of the world population? just some food for thought :)

Personally know of 1 from Ghana and 1 from Nigeria - both engineers in HFT - both emigrated to the US post-college - so not that rare. Is it proportional to population? Of course not. Clearly there's going to be an english-speaking bias and an education availability bias and whatever bias du jour one wants to bake in. I don't think it is controversial to say that being born into poverty hurts - as naively as just acc…

idk to me bottom 20% is a household thing more so than geographic if you live in Ghana or Nigeria but grew up driving a Maybach or BMW that would't apply if you grew up homeless in the US it would

perhaps ancedotal but the bottom 20% more or less stay the same across generations no matter how welcoming an organization is or no matter if an individual is bright or has a good idea

Re: Finding Signal in the Noise: Machine Learning and the Markets (Jane Street)

#153

Post by mbac32768 »

MichaelRo wrote: post #127
ustad wrote: post #105

Earlier quoted context omitted.

At the end of the day, it’s fine to ignore the critics or people who don’t understand your work, but dismissing the conversation entirely without considering the underlying point might close off an opportunity for meaningful reflection. Just my two cents.

Reflect on what? Some utopian cvasi-religious bullshit which has no real applicability except virtue-signalling? Why don't we all do nice things instead of being caught in the capitalistic rat race to make a living? (Not that other systems fared better). Why do we have to work shit, meaningless jobs instead of doing the grand things of life, engineering, arts, etc? Well first of all because all those niches are alrea…

Yes this. There's no shortage of people working in quant finance who used to work in research who quit because they literally could not afford to start a family.

People imagine it's like prestigious professors at top research institutions leaving their posts because of the allure of money, when it's more like the 100x people just like them who were denied tenure and realized they chased a career in science like an inner city youth chases getting into the NBA: most people fail. Then what?

I even know people who worked in quant finance, struck it rich, quit to finish becoming doctors, and then came screaming back because of how horrible medicine was.

Re: Finding Signal in the Noise: Machine Learning and the Markets (Jane Street)

#154

Post by vineyardmike »

edanm wrote: post #122
jakewins wrote: post #116

Earlier quoted context omitted.

I’m intrigued as well.. My experience is notebooks struggle as a format for production code. We encourage people who work heavily in notebooks to use them for exploratory work, but choose other tools when it comes time to ship. When you are exploring something, experimenting, showing.. it’s great; train-of-thought structure, APIs like Pandas optimised for writing and terseness etc. But when you have a piece of code t…

I write production code, I also work lots in Jupyter notebooks. Personally, I think the fact that notebooks are usually easier/funner for me to work with is a big problem. I'm by no means a Clojure expert, but I did do a semi-large project in Clojure a few years ago, and some of the ideas of true REPL-driven development that exist there are things I wish that Python supported. It's hard to explain without actually le…

I'd love to hear more about this REPL-driven development. I've heard people bring it up from time to time, but it's clearly very different from the typical "stateless horizontal micro-service" that has become common practice.

What tools are used for "write new code and immediately print out its value, then with one shortcut make it part of the regular codebase" and how does that square with working on a team and getting code reviewed?

Re: Finding Signal in the Noise: Machine Learning and the Markets (Jane Street)

#157

Post by saagarjha »

laidoffamazon wrote: post #156
saagarjha wrote: post #155

Earlier quoted context omitted.

Yes, you are.

Yeah I don’t think so. They think the rest of us are insects.

I interact with those people regularly without having the same background as them and this has basically never been the case. I think you've just been talking to horrible people.
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