Quantitative Finance Researcher (Master's)
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About the role
Pay: Up to $50/hour
Overview
Handshake is looking for quantitative finance 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.
Details
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
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.