<t>QuoteOriginally posted by: traderjoe1976Derivatives quant know good amount of Math, but very little programming and data manipulation.Algo / HFT people are not so good in Math, but are expert in programming and data manipulation.Just fill in the gaps and then see if you are prepared for the algo ...

<t>QuoteOriginally posted by: qqqqqMost stat arb hedge fund strategies are not really high frequency. You cannot manage hundreds of millions to billions of dollars using HFT, the capacity of these strategies is very low. Most HFT are prop shops.LTCM were HFT, Knight Capital were HFT, Gloucester Rese...

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<t>QuoteOriginally posted by: qqqqqYou are confusing statarb and HFT here. Stat arb can describe any quant trading, but usually refers to some sort of pair trading, not necessarily high frequency. HFT is anything with very short holding times, usually market making. In practice they tend to be the s...

<t>QuoteOriginally posted by: GamalIn algo trading you use all trading policies known from the "macro" world. Some are more scientific, some less.Look at the way traders talk. They've got precise trading algorithms but have serious problem in describing them. To extract all that from their minds and...

<t>I'm not sure where you got the idea that algotrading is about trying to formalize technical analysis but this is not generally correct. At many/most statarb hedge funds its more about sophisticated types of pairs trading where you try to exploit very short term price discrepancies between correla...

<t>QuoteOriginally posted by: katastrofaAlmost certainly, people will still do research in physics 10, 20 or 30 years in the future.It's hard to say if quants will still be employed, or derivatives still traded, 10 years from now.Yeah and if you start a physics PhD now then youll probably still be a...

QuoteOriginally posted by: acastaldoJohannesandErakerare just some of the finance professors who apply MCMC methods to the estimation of financial models. It is an important area.What academics find interesting is only loosely correlated with what a bank/fund will actually pay you to do.

Statisticians are more likely to be recruited at hedge funds than ibanks, and the use of MCMC methods in HFT is somewhat limited by the fact that algorithms have to run extremely fast. There will be places where you can use it though, but it really depends what you're working on.

<t>What does sports analytics pay anyway? I saw some William Hill adverts last year that were offering a comparable base salary to quant work, but does it have the same upside? Are the guys who have been doing this for 5-10 years in the sporting equivalent of prop shops getting anything comparable t...

<t>Sports analytics is a growing field and would probably be more interesting than being a sell-side quant (particularly if you're more into data analysis and algorithm development than C++ coding), but I would be slightly concerned about the future career path since its so new and wont look as good...

<t>QuoteOriginally posted by: StatsRockHi, everyone. I am still an outsider of financial quant. I am getting a Master degree in statistics (math dept.), and I have applied like all the possible quant job in the netherlands (p.s. my univ is in the netherlands). Now, I can read rejection letter like s...

<t>It depends what sort of job you want after. I doubt you would be competitive for a BB front office quant job with any of those (especially in the current market), but if you are happy working in back office or IT then fine (and these still pay fairly well). Otherwise you would be better trying to...