Quantitative Rates Researcher, Part-Time AI Research Evaluation - Remote (United States)

About the role

Evaluate AI-generated research and systematic trading strategies in rates and fixed-income markets, including assessing backtests for lookahead bias, overfitting, liquidity constraints, and transaction costs. Provide concise feedback on research assumptions, implementation fidelity, statistical rigor, and overall quality. Candidates need professional quantitative research experience in bond or interest-rate markets, including developing systematic rates strategies and running backtests. They must have advanced Python skills with pandas, NumPy, and SciPy, or strong R skills, and professional fluency in English; prior AI experience is not required.