Description
Millennium is hiring a Data Scientist for its Volatility Alpha Development team to research, develop, and productionize AI/ML models for volatility forecasting, options pricing, signal generation, event analysis, and hypothesis testing. The role involves building quantitative research workflows with JAX, PyTorch, and hardware acceleration; designing agentic research workflows with LangGraph and LangSmith; integrating AI-assisted research and decision-support tools; and supporting production ML practices such as experiment tracking, model monitoring, drift detection, and reproducibility. Candidates need a relevant bachelor’s, master’s, or PhD degree, at least three years of experience in a quantitative, engineering, or data-driven financial-services environment, strong Python skills, and experience with Kubernetes, Docker, Airflow, and CI/CD.
