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
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