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        • Lead Quantitative Research Engineer

          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

          Python SQL AWS Airflow
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