Key Responsibilities

1. Innovation: Stay at the frontier of quantitative and AI/ML methods, applying cutting-edge academic and industry research to maximize utilization of large-scale data for real-world investment opportunities.
2. Model Development: Build analysis tools and statistical models around petabyte scale alternative datasets ranging from high frequency sensor data to unstructured event data gathered from the real world to predict economic events across all sectors and asset classes.
3. Signal Research: Partner with investment teams to test hypotheses, validate signals, and integrate findings into systematic and discretionary strategies.
4. Discovery & Evaluation: Identify, assess, and enhance alternative datasets for quality, coverage, and potential investment relevance.
5. Entrepreneurship: Act as an intellectual entrepreneur and owner by identifying new data sources, researching answers to novel questions, and developing innovative approaches that have the potential to create commercial impact.

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