Staff Quantitative Researcher

Job Summary

Focused on enhancing pricing accuracy, the full-time Staff Quantitative Researcher will work remotely to identify new data signals, detect market manipulation, and design pricing models for alternative assets.

Key responsibilities

• Identify and validate new data signals that predict price movements through rigorous backtesting
• Detect potential market manipulation and unusual activity to maintain valuation integrity
• Evaluate and select pricing models, determining the best approach for cross-market pricing discrepancies

Required qualifications

• Proven experience in building pricing or forecasting models in production, including familiarity with tree-based models and advanced techniques
• Deep understanding of non-traditional or illiquid assets such as collectibles or alternative credit
• Experience in combining multiple models or signals through methods like portfolio construction or ensemble techniques
• Expertise in SQL and Python, with hands-on experience in AI applications
• Strong statistical skills, including experimental design and backtesting