Details
Wellington has publicly described a system in which roughly 200 investment team members use dashboards built on alternative data (e.g., credit card transactions, job postings) to help anticipate company growth, hiring trends, consumer behavior, and product changes. This supports the idea-generation phase of the investment process. The firm's Investment Science Group, which has grown to more than 68 specialists, oversees these data science capabilities alongside 100+ portfolio managers who have been trained to code in Python to analyze data and implement machine learning algorithms.
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