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Grubhub Holdings Inc. seeks an Analyst II, Fraud Strategy in Chicago, IL.

Duties: Assess the fraud risks and controls, to help identify gaps to help prioritization of projects. Find and address the latest and largest fraud trends, through investigation, hypothesis, analysis and testing. Work cross-functionally on fraud related projects, while partnering with Finance, Technology, Product, Procurement, Marketing, Logistics, Care, Restaurant, Legal, PR, Security and other teams. Use data and statistical techniques to identify fraud patterns, and solutions for those. Employ machine learning algorithms, such as the Isolation Forest and the One-Class Support Vector Machine (SVM), known for their anomaly detection capabilities, to unveil new patterns of abuse by diners, restaurants and drivers. Apply Principal Component Analysis (PCA), Correlation Analysis or Chi Square Test to select the minimum number of data features of the hundreds available to be utilized to build fraud decision rules. Utilize decision trees and random forests on the selected data features to build high precision fraud rules that can be integrated into our risk decision engine to reject risky orders and accept good diners orders. Rigorously assess the effectiveness of machine learning models developed by our in-house decision science team and fraud vendors, ensuring that these models align with our critical KPIs while enhancing our overall platform security. 100% telecommuting permitted within the MSA.

40 hours/week, \$86,000 - \$92,000 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply Ref #10038.

Grubhub Holdings, Inc.

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Analyst II, Fraud Strategy