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Total Posts: 6
Joined: Jul 2011
Posted: 2016-11-23 06:13
I’m interested in self studying with an end goal of ending up in a quant research role. My background is in computer science (bs), but I’ve taken various math, stat, and machine learning courses while in school. Presently, I’m working as a software engineer, but I’ve become interested in moving into a more math oriented role. What would be some resources/topics to start off on?

For more color on my background, I studied statistics out of hogg’s book and various forms of machine learning out of bishop and murphy. I’m familiar with the python/numpy/sklearn stack from both industry and school and have fooled around with R on and off before.


Total Posts: 490
Joined: Apr 2005
Posted: 2016-11-23 10:13
My view would be to get some stats knowledge (peter kennedy econometrics is good), and start to use it.
Read a book that will teach your the process (igor's finding alpha; or the rob carver one), and the use it in practice - be in Quantopian (yes - it's flawed - but can start and get familiar) or something else...

Accept that many (smaller) places might take you on for a performance only deal, unpaid or barely paid internship. large shops won't typically take the risk - for that - kind of have to go back to school probably...


Total Posts: 1
Joined: Apr 2019
Posted: 2019-04-02 16:40
Self-study is good. Getting a degree and self-studying is even superior. They are not mutually exclusive options. Are you facing Comenity Bank Phone Harassment? Deliver us a shout now & put off mobile phone harassment from this agency.


Total Posts: 4
Joined: Apr 2019
Posted: 2020-01-07 20:34
This is a matter of how you study and who you are. You say you are one of those people who just get in there and study independently, and your consistent grades prove it. Are you facing Harassment calls from Premier Monetary Solutions? Give us a shout today & get rid of phone harassment from this agency etc.
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