The researcher will be responsible for creating and evaluating quantitative models, trading analytics, and alpha signals to assist internal trading teams. Additionally, they will work alongside academic collaborators and traders to integrate AI-driven analytical tools and research insights. Ideal candidates should possess an advanced degree in a quantitative discipline and have 3-5 years of pertinent experience in investment research or data science. Expertise in Python, along with a solid understanding of statistical analysis, machine learning techniques, and financial market principles, is essential.
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