One of the most common questions for ML engineers considering a move into financial services is: “Will I take a pay cut?” The answer is nuanced. While Big Tech equity packages are hard to beat at the senior level, financial services companies — particularly hedge funds and proprietary trading firms — often offer comparable or higher total compensation through performance-based bonuses that can dwarf base salaries.
This guide breaks down compensation across four categories: major banks, hedge funds and prop trading firms, fintechs and startups, and Big Tech / AI labs. All figures reflect 2026 market data for US-based roles (NYC and SF metro areas).
Frequently Asked Questions
- Do ML engineers at banks earn less than at Big Tech?
- At junior levels, yes — bank ML engineers typically earn 15-25% less in total compensation than Big Tech equivalents. However, at VP and Director levels, the gap narrows significantly due to large cash bonuses. And at hedge funds, total compensation often exceeds Big Tech at every level.
- Is hedge fund compensation really that much higher?
- For top performers, yes. The key difference is that hedge fund bonuses are directly tied to P&L contribution, which creates extreme variance. A mid-level quant researcher generating significant alpha might earn $500K-$1M+, while a comparable performer at a bank or tech company earns $300K-$500K. However, the base case (average performance) is closer to bank levels.
- Should I prioritize base salary or equity?
- It depends on your risk tolerance and the company stage. Public company equity (Big Tech) is essentially cash with a vesting schedule. Pre-IPO equity (AI labs, fintechs) has high potential upside but is illiquid and may be worth nothing. Hedge fund and bank compensation is mostly cash, which is the safest form of compensation.