The work
Create realistic quantitative finance problems based on professional modeling work, then write complete reference answers that explain the reasoning step by step. Review analyses for modeling errors that take practical judgment to spot.
Work may cover signal research, backtesting, derivatives pricing, risk modeling, and statistical time series. Review the duties and qualifications before applying to make sure the role matches your expertise.
- Write challenging finance problems and authoritative solutions.
- Assess whether financial models and analyses are sound, including errors that may be easy to miss.
What it pays and takes
- Pay: $115 per hour.
- Work arrangement: Remote, asynchronous contractor work with a flexible schedule.
- Time requirement: At least 20 hours per week.
- Location: Open to candidates in the eligible countries for this role.
- Education: A master's or PhD in mathematics, statistics, physics, financial engineering, economics, or computer science.
- Experience: At least three years of full-time work as a quantitative researcher, quant analyst, or risk modeler.
- Technical skills: Hands-on experience with backtesting, pricing models, risk models, or statistical time series; strong programming ability in Python, R, C++, or MATLAB.
- Communication: Strong written English and the ability to explain model reasoning step by step.
- Helpful background: Work at a hedge fund, trading firm, bank, or asset manager; experience with market or credit risk models such as VaR, expected shortfall, or PD/LGD.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses examples written and reviewed by people to help AI models learn and improve. Experienced quantitative professionals are needed to create realistic financial problems and identify errors in model reasoning.