Finance Expert
Handshake AI Fellowship · United States · 3 wk ago
RemoteRemoteFinancePart-time
About the role
Handshake is looking for experienced finance professionals to support AI research through flexible, part-time contract work. This is not a traditional job — you'll draw on your hands-on experience in investing, capital markets, or deal execution to evaluate AI-generated content and provide feedback that helps AI reason like a practicing finance professional. This is an ongoing, project-based opportunity you can take on alongside your current role.
Responsibilities
- Use your domain expertise to create expert-level finance problems and scenarios grounded in real deal analysis, valuation, and investment decision-making
- Review and evaluate AI-generated responses for technical accuracy, practical feasibility, and alignment with how the work is actually done
- Provide structured written feedback to help improve AI model performance
- Complete tasks at your own pace with no set schedule or minimum hour requirement
Requirements
- Industry/research experience — minimum 1 year of professional experience at a well-known firm or legitimate startup, with direct exposure to real financial analysis, deal execution, or investment decision-making
- Degree — Bachelor's degree in Finance, Economics, Accounting, Business, or a related quantitative field
- Sub-domain depth — demonstrated expertise in one of the following areas:
- Investing (venture capital, private equity, or growth equity)
- Hedge fund experience (public markets, equity research, macro, or credit)
- Investment banking (M&A, capital markets, or corporate finance)
Skills
- Strong financial modeling and valuation skills (Excel, DCF, comps, LBO, or similar)
- Experience at a recognized, brand-name firm in your sub-domain, or progress toward a credential such as the CFA
Required for all applicants: Based in the United States; strong written communication and attention to detail; ability to explain complex finance concepts clearly; ability to work independently in a remote, asynchronous environment.