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Financial Mathematics Expert Python Quant Finance

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: OpenTrain AI, Inc.
Part Time position
Listed on 2026-10-02
Job specializations:
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 15 - 60 USD Hourly USD 15.00 60.00 HOUR
Job Description & How to Apply Below
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.
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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