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The Data Science team at EDGE is responsible for developing and optimizing predictive models that leverage alternative data sources to improve consumer risk scoring and behavioral mapping. This includes processing consumer-permissioned bank transaction data and loan performance data, creating highly actionable risk scores and features for underwriting decisions. Their work enables lenders and other risk industries to detect unique risk signals and increase conversion rates of consumers, advancing beyond traditional risk assessment methods.