Opportunity Overview
Handshake is looking for quantitative finance researchers and academics to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your deep expertise in mathematical finance, risk modeling, and quantitative methods to evaluate AI-generated content and provide feedback that helps AI better understand quantitative finance research and methodology.
This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.
What You'll Do
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This project involves using your research expertise and academic knowledge to create expert-level training data and evaluate AI-generated responses for accuracy and relevance. No prior AI experience required.
- Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.
- Placement depends on current project needs, with opportunities to be considered for future projects as they become available.
Qualifications
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Familiarity with arxiv.org, particularly the Quantitative Finance repository (q-fin)
- PhD or Master in Quantitative Finance, Mathematical Finance, Financial Engineering
- Research background or coursework in areas such as:
- Computational Finance or Mathematical Finance
- Portfolio Management or Risk Management
- Statistical Finance or Trading and Market Microstructure
- Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.
