Build alpha-generating signals from scratch, including cleaning and processing large-scale raw data with effective programming tools, feature-engineering based on economic and mathematical intuitions, building, training and fine-tuning machine learning architectures for cross-sectional or time-series prediction, and systematically evaluating the effectiveness of the signals. Successful researchers manage, in collaboration with supervising portfolio manager, all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation.