Quantitative Finance Researcher (Master's)
About this role
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.
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