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OpenAI Dangles $205K Salary to Lure Bankers—Not to Use AI, but to Teach It

OpenAI is making a bold play for Wall Street talent, and it's not just about throwing money around. The company recently posted a job opening for investment professionals with at least two years of experience to join its San Francisco applied AI team as a "subject matter expert." The base salary? Up to $205,000 (roughly 1.39 million RMB), plus equity—and given OpenAI's rumored private IPO plans, that equity could be a golden ticket.

But here's the twist: OpenAI isn't hiring these bankers to use AI. They're hiring them to teach AI how to think like an investment banker.

What the job actually entails

The job description makes it clear: candidates need a deep, hands-on understanding of investment banking operations—company and industry research, financial modeling, valuation, due diligence, deal execution, and client materials. More importantly, they must grasp the decision-making logic at every level, from junior analysts to directors. They need to know which tasks AI can automate, which it can assist with, and which must stay under human control.

In other words, OpenAI wants someone who can bridge the gap between Wall Street and Silicon Valley. The hired expert will work closely with product teams to identify the most valuable AI applications in investment banking, build prototypes using OpenAI's tools, and test whether the results actually meet real-world needs. Think of it as setting the quality standard for AI in finance.

The bigger picture: AI's Wall Street land grab

OpenAI's move is part of a larger trend. AI companies are scrambling to capture the lucrative enterprise financial market, and competition is fierce. In May, Anthropic launched ten new AI agent tools designed to automate repetitive Wall Street tasks. In its pitch deck, Anthropic called financial services its second-largest revenue-generating sector, right behind tech.

Anthropic has already made inroads. Its "Glass Wing Project"—a preview of Claude Mythos—is being tested by select institutions, with JPMorgan as an early partner. The project now spans 15 countries and over 150 companies. OpenAI isn't standing still either. Goldman Sachs has invested in OpenAI's deployment business and became a co-developer of its "Trusted Network Access Program" in April.

Why domain experts matter

This hiring strategy highlights a key insight: AI is only as smart as the data and guidance it receives. Teaching a model to understand the nuances of investment banking—where a single decimal point can mean millions—requires more than just data scientists. It requires people who have lived the 100-hour weeks, built the models, and pitched the deals.

By bringing in domain experts, OpenAI hopes to create AI tools that bankers will actually trust and use. It's a smart bet: if you want to reshape Wall Street, you need to learn its language first.

Key Points

  • OpenAI is hiring investment bankers with 2+ years experience for its applied AI team in San Francisco.
  • Base salary up to $205,000 plus equity; role is to teach AI, not use it.
  • Candidates need deep knowledge of investment banking operations and decision-making.
  • Anthropic and other AI firms are also targeting Wall Street, with projects like Glass Wing already in use.
  • The move reflects a broader trend of AI companies seeking domain experts to build specialized financial tools.