Quarter Life Cross Roads
Hi everyone,
Quick background, was at T2 consulting firm, now at growth stage startup doing Data Science. I enjoy the job a lot but current comp and comp growth is just not good. Even though the company is doing well, I don't get enough equity for it to meaningfully improve earnings. I am at a cross-roads trying to figure out what to do and am exploring some of the data science roles (non-systematic quant) in finance.
1. L/S Alt Data Science at MM or SM. Are there any funds that are known to treat these guys ok? Does anyone know comp for the central data teams e.g., (Citadel Sector Data Analyst, P72 MI)
- Are the PE Data Science roles any good? The combo of consulting + DS seems like a good fit here
Any other ideas? This has been really messing with my head the past month where I don't feel like I am on track on to make enough money/support the lifestyle I would want.
Based on the most helpful WSO content, it seems you're considering a pivot into the finance sector, specifically into data science roles within private equity or hedge funds. Here's some insight into your options:
L/S Alt Data Science Roles in MM or SM Funds:
PE Data Science Roles:
Other Considerations:
It's important to thoroughly research each opportunity and consider the long-term potential, not just the immediate compensation. Networking with professionals in these roles and seeking mentorship can provide more personalized advice tailored to your skills and career aspirations. Remember, the right move will balance your need for a satisfying role with your financial goals. Keep exploring and don't hesitate to reach out to your network for insights.
Sources: Best L/S credit funds in London?, Good time for a new analyst to join L/S hedge fund?, Lateral to Quant PM - MBA, MS Data Science, or MS Finance?, Top L/S in London and Hong Kong (e.g., Lone Pine, Viking, Coatue, Maverick, Darsana, etc.), Credit funds
bump
Do you have any offers? This is purely theoretical and very team dependent. This thread will accomplish very little in practical terms
Balyasny has a lot of Data Science roles, check it out
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