Lead Quantitative Research Engineer

Job Summary

A company is looking for a Lead Quantitative Research Engineer.

Key Responsibilities

• Design, train, and deploy models to predict fair value and forecast volatility
• Ingest and reconcile auction feeds and marketplace data, ensuring data integrity
• Own model orchestration and production deployment processes

Required Qualifications

• 9+ years in quantitative finance, machine learning engineering, or related fields
• Deep experience in time-series analysis and forecasting, particularly for illiquid assets
• Proven experience in transitioning models from development to production
• Fluent in Python, SQL, and modern data tools
• Track record of improving model performance in live systems