# OpenAI is hiring an investment banker to teach its AI the job > Source: > Published: 2026-07-07 19:13:49+00:00 #### TL;DR OpenAI is hiring an investment-banking “subject matter expert” for its Applied AI team, paying $185K-$205K plus equity, to define the quality bar for AI-assisted banking work. The move signals OpenAI’s push into finance, one of enterprise AI’s most lucrative verticals, where it is racing Anthropic. The role is explicitly about teaching models where to automate analyst-level grunt work versus leave judgment to humans. OpenAI is recruiting an investment-banking expert to help train its AI on the trade. The [job listing](https://openai.com/careers/subject-matter-expert-investment-banking-san-francisco/) seeks a “subject matter expert” with at least two years of investment experience for its Applied AI team in San Francisco. Base pay runs from $185,000 to $205,000, with equity on top, [Business Insider reports](https://www.businessinsider.com/openai-hiring-expert-investment-banking-job-pay-experience-2026-7). That equity sweetener carries new weight after OpenAI took a first, private step toward a long-expected IPO last month. The hire would “define the quality bar for AI-assisted investment banking work”, per the posting. That means bringing current knowledge of research, financial modelling, valuation, diligence, and the client materials that fill a banker’s day. The role is explicitly about judgment, not just execution. OpenAI wants someone who understands how work evolves from junior analyst to director, and can pinpoint where AI should automate a task, assist a decision, or stay under human review. It is not OpenAI’s first move here, as the company is part of a wider scramble to hire finance insiders. Banks and AI labs alike are [paying ex-Wall Street staff up to $25,000 a day](https://thenextweb.com/news/ai-trainers-wall-street-25000-day-sinisterra-wang) to train models on the work they used to do. ### The enterprise prize Finance is one of the richest veins in enterprise AI, which is why the labs are circling. Anthropic said in May that financial services is its second-largest industry by enterprise revenue, and it has [built a $1.5bn pipeline into Wall Street](https://thenextweb.com/news/anthropic-15-billion-wall-street-joint-venture) to press the advantage. OpenAI is countering on multiple fronts, having recently [launched a multibillion-dollar Deployment Company](https://thenextweb.com/news/openai-deployment-company-4bn-tpg-tomoro) with backing that includes Goldman Sachs. It is also [pushing ChatGPT toward personal finance](https://thenextweb.com/news/openai-chatgpt-personal-finance-plaid), extending its reach from the trading floor to the current account. The banks themselves are spending furiously, with JPMorgan pouring $18bn a year into technology and Goldman $6bn. Goldman has also backed OpenAI’s cyber-access programme, while JPMorgan was an early partner in Anthropic’s rival Glasswing scheme. ### Grunt work first, judgment later The pitch to banks is blunt: let AI absorb the analyst-level drudgery of models and decks. It is the same automation logic that Citi’s Jane Fraser has framed as [one of two AI races](https://thenextweb.com/news/citi-fraser-two-ai-races-banking) reshaping the industry. OpenAI showcased financial tasks when it launched GPT-5.5 in April, and a wider release of GPT-5.6 is ready but paused at the Trump administration’s request. The models are getting more capable faster than the rollout timelines allow. Hiring a banker to grade the output is how OpenAI closes the gap between an impressive demo and work a managing director would sign off on. The junior-analyst rung is the target, and the job posting barely hides it.