Senior Quantitative Researcher & AI Engineer

About the role

Build systems to monitor investment theses against new information, maintain point-in-time financial and research data, and backtest investment hypotheses and signals. Provide portfolio risk analytics and develop and evaluate LLM agents for the investment research process. Requires at least five years of quantitative research or data science experience with financial data, strong foundations in mathematics, statistics, and machine learning, and experience putting a model or signal into practical use. Candidates must be proficient in Python and SQL, understand point-in-time backtesting pitfalls and portfolio risk, have experience evaluating LLM systems, and be fluent in English; buy-side or portfolio-manager experience is preferred.