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

• 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.