远程工作雷达

投资银行领域专家

Subject Matter Expert, Investment Banking

AI未标注地域
公司Openai
薪资$185,000 - $205,000
工作地点San Francisco
地域资格未标注地域
时区要求无特别要求
用工类型FullTime
发布时间今天
数据来源Ashby
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关于团队

OpenAI 正在构建能够帮助专业人士以更快的速度、更严谨的态度和更高的创造力完成复杂高价值工作的 AI 系统。投资银行是知识型工作中最具挑战性的环境之一:银行家必须整合碎片化信息,在压力下做出判断,并产出精确、可辩护的模型、分析和客户材料。

我们的团队在研究、产品、工程和市场推广之间协作,使 OpenAI 的模型真正适用于这些工作流程。我们将实际的专业工作转化为产品需求、评估、训练信号和可重复的客户解决方案。我们不仅关注模型能否生成答案,还关注其能否提供经验丰富的银行家可以信任并使用的准确、可辩护的工作成果。

该职位位于加利福尼亚州旧金山。我们采用每周 3 天在办公室的混合办公模式,并为新员工提供搬迁协助。

关于该职位

我们正在寻找一位投资银行领域的专家,帮助定义优秀的 AI 辅助银行业务工作标准,并将其转化为更好的模型和产品。您将带来对投资银行业务实际操作方式的深入且最新的了解,包括公司与行业研究、财务分析与建模、估值、尽职调查、交易执行以及客户材料的创建与审核。您将利用这些专业知识设计现实的任务和评估,创建和评估高质量的参考工作,诊断模型失败原因,并帮助我们的技术团队改进模型行为和产品体验。

这是一个需要亲自参与的个人贡献者角色,适合那些既喜欢做实际工作,也喜欢解释什么是优质工作的人员。您应能自如地在 Excel 模型、演示文稿、源文件、评估评分标准、产品原型和与研究人员或客户的对话之间切换。您将帮助我们区分仅看起来合理的结果与准确、可追溯、内部一致且可用于专业用途的工作成果。

在此职位中,您将:

- 在研究、财务分析、估值、建模、尽职调查、交易执行和客户材料方面,定义 AI 辅助投资银行业务工作的质量标准。

- 将真实的银行业务流程转化为具有现实输入、约束条件、交付成果和成功标准的挑战性评估任务。

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About the Team

OpenAI is building AI systems that can help professionals perform complex, high-value work with greater speed, rigor, and creativity. Investment banking is one of the most demanding environments for knowledge work: bankers must synthesize fragmented information, exercise judgment under pressure, and produce precise, defensible models, analyses, and client materials.

Our team works across Research, Product, Engineering, and Go-to-Market to make OpenAI's models genuinely useful for these workflows. We translate real professional work into product requirements, evaluations, training signals, and repeatable customer solutions. We care not only whether a model can generate an answer, but whether it can deliver accurate, defensible work that experienced bankers can trust and use.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

About the Role

We are looking for a Subject Matter Expert in Investment Banking to help define what excellent AI-assisted banking work looks like and turn that standard into better models and products. You will bring deep, current knowledge of how investment banking work is actually performed, including company and industry research, financial analysis and modeling, valuation, diligence, transaction execution, and the creation and review of client materials. You will use that expertise to design realistic tasks and evaluations, create and assess high-quality reference work, diagnose model failures, and help our technical teams improve model behavior and product experiences.

This is a hands-on individual-contributor role for someone who enjoys both doing the work and explaining what makes it good. You should be comfortable moving between an Excel model, a presentation, a source document, an evaluation rubric, a product prototype, and a conversation with researchers or customers. You will help us distinguish outputs that merely look plausible from work that is accurate, traceable, internally consistent, and ready for serious professional use.

In This Role, You Will

- Define the quality bar for AI-assisted investment banking work across research, financial analysis, valuation, modeling, diligence, transaction execution, and client materials.

- Translate real banking workflows into challenging, representative evaluation tasks with realistic inputs, constraints, deliverables, and success criteria.

- Create and refine banker-grade reference artifacts, including financial models, valuation analyses, diligence materials, screening outputs, pitch books, committee materials, and transaction documents.

- Develop rigorous rubrics and grading methods that assess financial correctness, analytical judgment, source quality, traceability, internal consistency, presentation quality, and practical usefulness.

- Evaluate model outputs and end-to-end agent workflows, identify recurring failure modes, and translate findings into actionable feedback for Research, Engineering, and Product.

- Partner with researchers and engineers on evals, graders, datasets, human-review processes, tools, and product integrations that improve model performance on financial work.

- Work closely with product teams to identify the highest-value opportunities for AI in investment banking, prototype new workflows using OpenAI tools, and assess whether early experiences meet the needs of real users.

- Engage with customers, design partners, and domain reviewers to understand real-world standards and constraints, support testing and adoption, codify domain knowledge, and ensure responsible financial-services deployment.

You Might Thrive in This Role If You

- Have 2+ years of investment banking experience, including live transaction execution and the production of high-quality analyses, financial models, and client materials. Demonstrated ability and judgment matter more than title or tenure.

- Have strong command of core banking workflows across M&A, capital raising, strategic advisory, or a closely related product or coverage area.

- Can build and review financial analyses in Excel and produce polished PowerPoint materials, with a sharp eye for errors, weak assumptions, unsupported claims, inconsistent numbers, and poor presentation.

- Understand how work and judgment evolve from junior analyst through director, and can identify where AI should automate execution, support decision-making, or remain subject to human review.

- Exercise excellent analytical judgment and can assess whether an approach is appropriate, evidence is sufficient, and an output would withstand senior review.

- Can translate expert intuition into clear standards, actionable feedback, rubrics, and guidance that others and evaluation systems can apply consistently.

- Thrive in ambiguous, zero-to-one environments and are willing to create the first version of a task, model, deck, rubric, workflow prototype, or playbook.

- Are curious about AI, comfortable collaborating with technical and non-technical stakeholders, and able to apply sound judgment around confidentiality, data entitlements, governance, regulation, and reputational risk.

Especially Strong Candidates May Also Have

- Experience across multiple banking products, industry coverage groups, geographies, or transaction types, or in adjacent fields such as private equity, corporate development, equity research, private credit, leveraged finance, or restructuring.

- A track record of improving financial workflows through automation, templates, knowledge systems, data tools, process redesign, or new technology.

- Familiarity with evaluation design, quality assurance, benchmarking, data annotation, prompt design, or testing AI-enabled financial tools.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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