Quantitative Finance Researcher and AI Evaluator

Create training examples based on quantitative finance research and assess AI-generated answers for accuracy, relevance, and sound methods. You will provide clear written feedback to help improve how AI systems handle quantitative finance research.

• Review work across computational and mathematical finance, portfolio and risk management, statistical finance, trading, and market microstructure.
• Use familiarity with academic research, including arXiv's quantitative finance repository, q-fin.
• Work independently and asynchronously, with careful attention to detail.

• Hours: Flexible schedule; contributors commonly work about 5–20 hours per week when a project is active.
• Language: Fluent English.
• Education: A PhD or master's degree in quantitative finance, mathematical finance, or financial engineering is required.
• Strong research and written communication skills, familiarity with arXiv's q-fin repository, and the ability to assess technical content for accuracy and relevance.
• No prior AI experience is required.