EDGE
Danielle Ellis is a Senior Technical Product Manager at EDGE since July 2023, previously serving as a Product Manager at VideoAmp from April 2022 to October 2022. At IBM from 2017 to April 2022, Danielle held the position of Senior Consultant, enhancing client business strategies and operations through integrated cognitive solutions and data management. Responsibilities included maintaining communication with clients, refining internal processes, and developing compliance strategies related to GDPR. Earlier experience includes an internship at NACUBO, assisting in the management of large-scale conventions, and a role at Business Today, where Danielle facilitated connections between students and business executives. Danielle earned a Bachelor of Arts in Psychology from Princeton University and had an academic experience at Université Paris 8 in 2015.
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EDGE
EDGE is the leading predictive intelligence platform that leverages alternative data for consumer risk scoring and predictive behavioral mapping. Our risk analytics are built on the industry's only data lake combining consumer-permissioned bank transaction data with loan performance at scale. The resulting risk scores and modeling features/attributes are uniquely predictive and curated for immediate actionability in underwriting decisions. With our proprietary analytics, lenders and other risk industries can increase conversions of consumers overlooked with traditional risk assessment techniques while at the same time detecting and decisioning on risk signals only available through EDGE.