I'm close to completing my MS CS from top 5 school while working on master’s thesis on NLP. I have 3 years of experience L3 SWE at Google and 3 years of experience in a fintech startup with ML-adjacent DevOps. Curious on chances to transition to MLE/quant/DS role in a prop shop/hedge fund, where I could preferably use domain knowledge in NLP/sentiment analysis? Haven’t interview prepped, not planning for PhD, just exploring. Do prop shops/hedge funds (ie TwoSigma, DE Shaw, Citadel, etc) typically hire for such roles? What’s the general extent NLP/sentiment analysis used in most funds? Any interview prep tips? (I’m assuming they’ll just ask linear models, regularization, neural nets etc with some LC) I heard mixed things, so trying to figure out what’s real - old Google colleague based in NYC said he thought sentiment analysis/NLP based fund strategies typically have not panned out well. But a guy in a prop shop said he saw it being used a few times before while Reuters uses Lexalytics. I'm okay with my current role and top performer, but just feel like it’s not challenging and figured maybe prop shops/hedge funds would be. I want a role to stick to domain knowledge - I’m sure 350k+ TC is possible but TC honestly is secondary to me. Currently 328k TC, but heavy on equity, ok with moving to NYC/Chicago/other. #finance
Multi strategy funds with fundamental strategies probably rely utilize some form of sentiment analysis more. Quant is more statistical techniques
You won't get hired for specific NLP skills, because having a MS is way too low of a bar for specific skills (think professor for that). You could easily get hired for general skills though, with the by far most valuable being the ability to think through unfamiliar problems.
DM me. Sentiment analysis is great, but is only one small part of the umbrella.
Tech Industry
Yesterday
3277
What happens when most of your team is Indian?
Tech Industry
Yesterday
1873
Women, help me understand why this is inspirational
Health & Wellness
Yesterday
736
Lasik cost
India
4h
340
'Hindutva': The Radical Hindu Ideology That Seeks to 'Push Christianity Out of India’
AMA
Yesterday
877
PM Manager, early 40s, married and ENM (Ethical Non Monogamous) AMA
Most firms I know don't use NLP/sentiment analysis. Some use basic ML models / decision trees to determine (internal) trade signals, but nothing like "Biden said xyz on Twitter, calls/puts on abc are cheap/lucrative now".
NLP is useful for fundamental investing. Earnings call transcripts etc
NLP is definitely used at firms.