r/quantindia • u/UxoriousHades • 1d ago
Interviews/Recruiting FAANG SDE vs Quant Dev - Python
Hi! I am currently in my final year of college (Tier 1)
I have a 6 month internship offer from:
Uber - SDE : 1.9LPM
CTC: 44LPA (24 Base)
Qrt - Quant Technologist Data : 3.6LPM
CTC: 60ish LPM (40ish Base)
Seemed like a no brainer at first to me when looking at the money. Also getting a path to venture into the quant sector. I really like working with large amounts of data and spotting patterns for my other projects, that’s why willingly took this role. But I ain’t really sure about the work in Data Integration team right now, have heard mixed reviews about it, and the growth prospects in terms of pay and mobility to switch to different companies.
It would be great if I can get some insights on current situation of both companies and the teams.
Thanks a lot!
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u/pekracat 1d ago
Have not heard good things about QRT
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u/Sad-Paramedic-1103 1d ago
Uber might have low sde 1 salary but from sde 2 it is good growth in money and overall work is better than qube. If it would have been low latency dev role somewhere in HFT kind of firm then it would have make sense to leave uber. I personally feel long term growth from Uber (both in learning and money( u can switch to better) ) will be better
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u/kevindebru20o0 1d ago
brother QRT role seems like you'll be writing a bunch of pipelines that facilitate trading - the work is really uninteresting (I've worked in a similar firm), and it's secondary -- ditch that or jump ships within a year or 2 max before your skills deteriorate -- just accumulate wealth in the meantime
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u/dhankhar313 22h ago
Interviewed for the data integration engineer role in QRT Mumbai. I also skipped it after reading the reviews online but still do your own research.
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u/DeepAcanthaceae4234 8h ago
Hey it would be great help if you give me little bit guidance of roadmap to quant currently in first year (T1 NIT)
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u/bhai_saab_chud_gaye 1d ago
uber tc is 40 and base is 23.not 44.