About the role
Work alongside data scientists and engineers to develop and optimize methods for fraud detection and device recognition.
Analyze large datasets to extract meaningful insights, detect patterns, and drive data-driven decision-making.
Develop and evaluate features derived from browser, app, and IP-based activity for device recognition and fraud detection.
Assist in the research and implementation of new machine learning algorithms and techniques.
Collaborate with cross-functional teams, including product, engineering, and analytics, to support business objectives.
Develop data visualizations and reports to communicate findings to both technical and non-technical stakeholders.
About the company
Socure focuses on digital identity verification and fraud prevention for financial institutions like banks and credit unions. It uses machine learning and advanced algorithms to analyze customer data and predict fraud risk, with its Sigma Fraud Score being a key product that detects fraudulent activity. Socure operates on a subscription model, providing clients with continuous access to its tools and helping them comply with regulatory requirements through Customer Identification Programs. The company's goal is to enhance security and minimize fraud for its clients.
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