In finance, you can only grow into a C-level exec position, if you know people at the top or are related to somebody at the top. Look at CXOs of banks, insurance and even some hedge funds.
However in tech world, you can be a nobody and still rise to become CXO of big tech (G, Msft, IBM, Adobe etc) or make your own startup and make $$$.
So why are finance (IB/tech/analyst) folks who dont know anybody at the top continue to grind 80-100 hr weeks in the false hope to ever rise at the top ?
Finance folks, whats your motivation to stick and grind ? (Other than the prestige which really is nothing and doesnt pay bills or lifestyle)
Please share your thoughts.
#finance #investment #bankersfinancial #bankofamerica #financialanalyst #quant #analyst
Want to see the real deal?
More inside scoop? View in App
More inside scoop? View in App
blind
SUPPORT
FOLLOW US
DOWNLOAD THE APP:
FOLLOWING
Industries
Job Groups
- Software Engineering
- Product Management
- Information Technology
- Data Science & Analytics
- Management Consulting
- Hardware Engineering
- Design
- Sales
- Security
- Investment Banking & Sell Side
- Marketing
- Private Equity & Buy Side
- Corporate Finance
- Supply Chain
- Business Development
- Human Resources
- Operations
- Legal
- Admin
- Customer Service
- Communications
Return to Office
Work From Home
COVID-19
Layoffs
Investments & Money
Work Visa
Housing
Referrals
Job Openings
Startups
Office Life
Mental Health
HR Issues
Blockchain & Crypto
Fitness & Nutrition
Travel
Health Care & Insurance
Tax
Hobbies & Entertainment
Working Parents
Food & Dining
IPO
Side Jobs
Show more
SUPPORT
FOLLOW US
DOWNLOAD THE APP:
comments
Its a career with a reasonable chance at an upper middle income life, minus the taxes. Or you can FANG it if you have technical skills.
Bird can fly.
Bird can fly.
I can seat on a couch 🛋 for whole Saturday like a coach potato 🥔.
1. Quality of your peers - over time the bar to get in at a senior+ level drastically went down at more or less all FAANG companies while quants at hedge funds have to cross a much higher bar.
2. Nature of work - there's less dealing with fires/software systems not working etc and more math and abstract problem solving that can be preferred / enjoyed by some people (like me)
3. Aggressive pay - in expectation you're likely making more as a quant compared to an ML Eng in Tech. But in extremes, top of the cream in AI makes much more in tech or the ones who get lucky by being at the right pre-IPO company at the right time make even more/get lucrative titles too.
Basically, people don't always have to be driven by big promo and CXO titles. They can value other things like knowledge over power.