Fraud Detection Supervisor supervises fraud detection associates in their effort to detect possible customer fraud. Leads cross-functional initiatives to proactively detect and prevent fraud from occurring. Being a Fraud Detection Supervisor researches, documents, and implements best practices in the industry with regard to fraud detection. Leads the most challenging and complex fraud investigations. Additionally, Fraud Detection Supervisor requires a bachelor's degree. Typically reports to a manager or head of a unit/department. The Fraud Detection Supervisor supervises a group of primarily para-professional level staffs. May also be a level above a supervisor within high volume administrative/ production environments. Makes day-to-day decisions within or for a group/small department. Has some authority for personnel actions. Thorough knowledge of department processes. To be a Fraud Detection Supervisor typically requires 3-5 years experience in the related area as an individual contributor. (Copyright 2024 Salary.com)
Position: Data Scientist - Handwriting Analysis for Fraud Detection
Location: Richardson, TX (Onsite, M-F)
Summary:
We are seeking a highly skilled Data Scientist with expertise in handwriting analysis, particularly in the context of fraudulent checks. The ideal candidate will possess a deep understanding of handwriting patterns, graphology, and machine learning techniques to detect anomalies and patterns indicative of fraudulent activities. This role requires a strong background in data analysis, statistical modeling, and programming skills to develop and deploy advanced algorithms for fraud detection.
Responsibilities:
Qualifications:
Preferred Qualifications:
Join us in our mission to combat fraud and protect the integrity of financial transactions through cutting-edge handwriting analysis and machine learning techniques.