Financial Mathematics Expert — Python Quant Finance

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect experts to projects that teach and shape modern AI — a fast-growing area where contributors gain flexible, remote work on cutting-edge tasks that directly influence how AI systems behave.

About AI Training Work

AI training (a.k.a. data labeling, annotation, or human feedback) is the human side of building AI: people prepare, evaluate, and refine examples that models learn from. Projects range from writing and rating model outputs to building datasets used for fine-tuning and evaluation. This role is on the technical end of that spectrum, producing high-quality problem sets and validated solutions that may be used for model development, fine-tuning, and evaluation.

The Role

We are seeking an experienced financial mathematics specialist to design and verify original, computationally intensive problem sets relevant to quantitative finance and financial modeling. Problems should require advanced, non-analytic methods and be solvable only with computational approaches.

This is a remote, part-time contractor role requiring 20+ hours per week. Compensation is hourly (range $15–$60/hr; listed rate $60/hr). Work will produce text-based problem statements, Python implementations, and reproducible documentation suitable for evaluation, fine-tuning, and text-generation tasks.

• Deliver research-style problem sets in stochastic processes, optimization, simulation, time series, and risk modeling.
• Validate every solution in Python with clear, reproducible code and documentation.
• Prepare outputs that support text generation, evaluation/rating, and fine-tuning workflows.

What You’ll Do

Create original computational problems and datasets that challenge quantitative methods and require non-manual solution techniques. Author clear problem statements, expected outputs, and grading/evaluation criteria.

Implement and test solutions in Python. Provide notebooks or scripts using common scientific libraries and include reproducible instructions so reviewers can rerun experiments and verify results.

• Author problem statements and solution specifications for advanced quant topics.
• Implement validated solutions in Python (notebooks or scripts) with reproducible results.
• Use libraries such as NumPy, SciPy, Pandas, SymPy and statistical/ML packages.
• Document assumptions, numerical methods, convergence checks, randomness control (seeds), and runtime considerations.
• Deliver final materials formatted for downstream evaluation, fine-tuning, or text-generation tasks.

Requirements

You must meet all listed requirements and be able to provide an English CV that declares your English proficiency and includes an email address and phone number. Hands-on text annotation or review experience is required.

• Bachelor’s degree or higher in finance, mathematics, statistics, or a related field.
• At least 2 years of quantitative finance or modeling experience.
• Strong Python skills: NumPy, SciPy, Pandas, SymPy, and relevant stats/ML libraries.
• Experience with numerical methods, Monte Carlo simulation, optimization, and time-series techniques.
• Hands-on text annotation or review experience (required).
• International or applied project experience is a plus.

Locations, Legal Notes, and Restrictions

This role is offered worldwide subject to legal and project-specific restrictions. Applicants from the locations listed below cannot be accepted for acquisition or participation in this project. Please check the list carefully before applying.

• Restricted countries and territories: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine
• Restricted countries/territories continued: Switzerland, China, Taiwan, Kenya
• Restricted U.S. states: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, West Virginia
• Restricted territories and islands: Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island, Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe,

How To Apply

Create an OpenTrain account and submit your English CV with email and phone number and a declaration of your English proficiency. Include relevant code samples or links to repositories and at least one short example notebook or sample problem demonstrating a computational solution.

Applications should explicitly state your availability (20+ hrs/week) and confirm you meet the degree and experience requirements. We may request a short technical screening or a sample task to validate methods and reproducibility.

• Submit English CV with contact details and English proficiency level.
• Attach code samples or a reproducible notebook demonstrating numerical methods.
• Indicate weekly availability and past quant-project examples.