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Early Warning, a trusted payments innovator, operates a hybrid work model in the United States. The role focuses on executing fraud analytics, identifying root causes, and informing remediation strategies across participating financial institutions. You will manage compromised credential data and drive risk-informed decisions.
The ideal candidate has 5+ years in data analytics, strong SAS/SQL/Python skills, and experience in digital banking or payments. A bachelor’s degree is required.
Early Warning, a trusted payments innovator, operates a hybrid work model in the United States. The role focuses on executing fraud analytics, identifying root causes, and informing remediation strategies across participating financial institutions. You will manage compromised credential data and drive risk-informed decisions.
The ideal candidate has 5+ years in data analytics, strong SAS/SQL/Python skills, and experience in digital banking or payments. A bachelor’s degree is required.