Quantitative Finance Researcher - Remote
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks quantitative finance researchers and academics for a part-time, per-hour contract that supports AI research. You apply deep knowledge in mathematical finance, risk modeling, and quantitative methods to judge AI-generated content and write feedback that helps models handle quantitative finance research and methodology. The work is project-based and runs alongside your other commitments, with no prior AI experience required. Most contributors take on around 5 to 20 hours per week when an active project is available, and placement depends on current needs. The role is remote and self-scheduled.
What You'll Do7
- 1Evaluate AI-generated answers in quantitative finance for accuracy, relevance, and academic soundness.
- 2Create expert-level training examples that show correct reasoning in mathematical finance, risk modeling, or portfolio management.
- 3Review model outputs for errors in derivations, assumptions, and financial interpretation, then explain each correction in writing.
- 4Use your research background to assess content tied to computational finance, statistical finance, or market microstructure.
- 5Work with AI research teams through asynchronous project tools and meet agreed project milestones.
- 6Keep project work aligned with Handshake AI guidelines for quality and relevance.
- 7Contribute around 5 to 20 hours per week during active projects.
Requirements6
- 1PhD or Master in Quantitative Finance, Mathematical Finance, or Financial Engineering.
- 2Familiarity with arxiv.org and its Quantitative Finance repository, q-fin.
- 3Research background or coursework in computational finance, mathematical finance, portfolio management, risk management, statistical finance, or trading and market microstructure.
- 4Strong written communication skills and close attention to detail.
- 5Ability to work on your own schedule with AI research teams.
- 6No prior AI experience needed.
Who Should Apply
The ideal candidate holds a PhD or Master in quantitative finance, mathematical finance, or financial engineering and reads q-fin papers on arxiv.org with ease. Researchers and academics who can write precise feedback on risk management, portfolio management, or market microstructure will fit this project. The role suits someone who wants flexible, per-hour contract work next to a current academic or industry position. People seeking a permanent full-time job, a fixed schedule, or AI engineering responsibilities should look elsewhere. Applications often score low when the candidate lacks a graduate degree in a relevant field or submits vague feedback samples without clear financial reasoning.
Salary Insight
Handshake AI lists $75 to $150 per hour for this part-time contract. That range sits at the expert end for project-based AI training work, and your placement may depend on degree level, research depth, and the q-fin subfield you know best. The source does not mention benefits, minimum hours, or a fixed project length.
Location
Compensation
$75–150/hr
Required Skills
Application Tip
Name your exact q-fin specialization in the first few lines, such as statistical finance, portfolio management, or market microstructure, and point to one or two arxiv.org q-fin papers you have studied or written. That detail helps reviewers match your expertise to the current project and raises your fit score.
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Application & verification flow
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Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
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3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
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