Job title: Fraud Specialist Duration: Full Time/ CTH Location: Malvern, PA 19355 Hybrid - client need 2-3 days onsite per week Experience Level: Senior Level Job Summary We are seeking a highly skilled Fraud Specialist with expertise in Third-Party Fraud Strategy across Digital, Account Takeover (ATO), Acquisition, and Money Movement fraud typologies. The ideal candidate will have hands-on experience with LexisNexis ThreatMetrix (big plus) and advanced skills in SQL and Python to design, monitor, and enhance fraud prevention strategies. Key Responsibilities • Develop, implement, and optimize fraud detection and prevention strategies with a focus on third-party fraud (Digital, ATO, Acquisition, Money Movement). • Leverage LexisNexis ThreatMetrix to build device identity, behavioral, and digital intelligence-based fraud controls. • Conduct deep-dive analysis of fraudulent patterns, emerging threats, and customer behavior to mitigate risk. • Build and automate fraud monitoring dashboards, reports, and models using SQL and Python. • Collaborate with product, technology, and risk management teams to integrate fraud solutions into digital platforms. • Perform root cause analysis on confirmed fraud cases to strengthen detection and prevention capabilities. • Continuously evaluate fraud controls, ensuring compliance with industry standards, regulations, and organizational risk appetite. • Stay updated on fraud trends, regulatory changes, and cutting-edge fraud detection tools/technologies. Qualifications & Skills • Bachelor’s degree in Finance, Statistics, Computer Science, Data Analytics, or related field (or equivalent experience). • Proven experience in Third-Party Fraud Strategy, including Digital Fraud, ATO, Acquisition, and Money Movement domains. • Hands-on expertise with LexisNexis ThreatMetrix (highly preferred). • Strong proficiency in SQL for querying, analyzing, and reporting fraud-related data. • Proficiency in Python for data analysis, automation, and model development. • Strong analytical and problem-solving skills with attention to detail. • Ability to work cross-functionally and present fraud insights to stakeholders in a clear and actionable manner. Nice to Have • Experience with other fraud detection platforms (e.g., SAS, Actimize, Feedzai, FICO). • Knowledge of machine learning techniques for fraud prevention. • Prior work in financial services, fintech, or e-commerce fraud risk management.