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Financial Mathematics Expert Python Quant Finance

Create and verify advanced Python problem sets for quantitative finance, covering stochastic processes, optimization, simulation, time series, and risk modeling. This worldwide contract role pays $15 to $60 per hour for 20+ hours per week.

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OpenTrain AI

Legal & Finance

100% Remote Hourly · $15–$60/hr

$15–$60/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Mar 29, 2026

Posted

Open worldwide

The Work

You will design and verify complex, research-style problem sets in financial mathematics and quantitative finance. The problems should require advanced computational methods and be too complex to solve manually.

You will use Python to validate every solution and provide clear, reproducible documentation so others can check the results.

  • Create original computational problems for quantitative finance and financial modeling.
  • Write problems involving stochastic processes, optimization, simulation, time series, and risk modeling.
  • Develop solutions that use advanced methods and substantial computation.
  • Validate solutions in Python and document the work so it can be reproduced.
  • Evaluate and refine problem-and-solution pairs for use in AI training.

What It Pays and Takes

This is a part-time contractor role for someone with intermediate experience in the field. The work is open worldwide and requires a strong understanding of quantitative finance and computational mathematics.

  • Pay: $15 to $60 per hour, depending on the work and experience.
  • Time: 20 or more hours per week.
  • Location: Worldwide and remote.
  • Work type: Part-time contract.
  • Core skills: Python, financial mathematics, quantitative finance, and financial modeling.
  • Relevant topics: Stochastic processes, optimization, simulation, time series, and risk modeling.
  • Experience level: Intermediate.

How It Works

Apply on OpenTrain. The employer reviews applications there.

About AI Training Work

AI training work uses examples created and reviewed by people to improve how artificial intelligence systems respond. In this role, your technical knowledge helps create reliable examples for models working with mathematics, Python, and quantitative finance.

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