Staff Quantitative Researcher, Pricing

About the role

Develop and validate pricing signals, detect unusual or potentially manipulative market activity, and build models for pricing assets across marketplaces. Evaluate and blend models, make release and routing decisions, and communicate pricing research and trade-offs to cross-functional partners. Candidates should have production experience building pricing or forecasting models, strong statistical and backtesting skills, expert Python and SQL, and experience combining models or using alternative data. Relevant backgrounds include quantitative research, illiquid or alternative assets, arbitrage, prediction markets, underwriting, or marketplace pricing; hands-on AI tool development and clear communication are also expected.