Quantitative Finance Researcher

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.

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.

F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.