Thriveth

The AI job market, made clearer

Find work worth
your expertise.

Back to all jobs

Quantitative Analyst Expert

We are hiring quantitative analysts and researchers as contractors to review, create, and rank quantitative finance content that teaches AI models how real quant work is done.

Remote
Hiring companyAfterQuery Experts
Application processN/ANo approved reviews yet
Work experienceN/ANo approved reviews yet

About the role

You will evaluate AI-generated derivatives pricing, time-series analysis, portfolio construction, and risk modeling for technical rigor, and create expert demonstrations drawn from your own practice. The work is paid hourly, fully remote, and fully async - you choose when and how much you work.

Why Apply

  • Fully remote and async - work on your own schedule.
  • Top-of-market hourly pay for quantitative expertise.
  • Shape how frontier AI models reason about markets.

Responsibilities

  • Evaluate AI-generated quantitative analysis for mathematical rigor.
  • Create expert demonstrations of pricing, portfolio, and risk modeling workflows.
  • Rank and label model responses against quantitative best practices.

Required skills

  • Fluency with Python, R, or C++ for quantitative work.

Preferred skills

  • Buy-side or sell-side experience (hedge fund, prop trading, bank).
  • CFA charter or FRM certification.
  • Published research or open-source quantitative work.

Experience and education

  • Advanced degree in mathematics, statistics, physics, CS, or quantitative finance, or equivalent experience.
  • 2+ years in quantitative research, trading, or risk modeling.

Assessment requirements

Resume

Schedule details

Time Commitment: 10 hours/week.

Start Date: ASAP.

End Date: Ongoing.

Eligibility

Work arrangement: Fully remote

Compensation details

  • $150 - $200/hr.
More about the hiring companyAfterQuery Experts
Find AI-training work. Know what to expect.

Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.