Data Science at PE Firm vs PM at FANG
What would be suggested for long-term growth? Doing growth-related data science at a private equity firm or a role as a monetization pm in a FANG-related company? What are possible growth areas after the job at a PE firm? I'm concerned that a career in PM would plateau.
If you're talking about BXDS I've heard bad things about it. Would take PM at FANG.
would be interested in hearing more about bxds
Leadership sucks. No one knows how to do infrastructure, no one has PhD, also from what I heard it sounds like 50%+ of the juniors want to exit within a year or so. Heard of one analyst that quit within 4 months without a job lined up (that's how much he hates it lol). People usually go back to FANG. All they do is create fancy reports - no actual predictive modeling or anything like that.
fang
FANG. Other than a few AM like Two Sigma where data science is seen as valuable (from what I understand), you might find that it is less core at a PE fund.
How are you more concerned about a PM career plateauing (I.e. one of the roles in tech with the best upward trajectory + impact bar none - look at where CEOs come from) than being silo’d into a role w/ barely any upward trajectory comparatively (think about how few high level IC roles or management positions there are in DS) at some non-tech company? Make it make sense?
Fair enough if it’s about role fit, preferring the more tangible deliverable work in DS, preferring the people you met at the non-tech co, etc.. but plateauing??? Lol, how do y’all get these offers if you can’t critically assess stuff properly.
I'd take the FANG role and not look back. Outside of a few funds (more on the quant HF side), your data science skills are going to be valued much higher in big tech than in the finance world.
If you're concerned with your career in PM plateauing, I think doing data science at a PE fund would actually be worse. I doubt you'll have much of a chance at moving from data science to the investing side, which is where you make the real money in PE.
Laboriosam fugiat distinctio nobis alias. Numquam nobis doloremque nisi omnis dolores. Porro veritatis ullam nemo laboriosam qui.
Quia omnis repudiandae est. Rerum mollitia commodi ipsa voluptatibus sequi et. Accusantium occaecati beatae ipsum. Voluptatem eligendi delectus eveniet voluptates est aut consequatur.
See All Comments - 100% Free
WSO depends on everyone being able to pitch in when they know something. Unlock with your email and get bonus: 6 financial modeling lessons free ($199 value)
or Unlock with your social account...