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Fraud Data Analyst

$104.9k - $174.7k

RELX

Join a customer engagement team supporting banking, financial, and e-commerce clients with fraud and identity analytics solutions. Responsibilities Review suspicious activity and complex fraud cases to surface new risks and issues Analyze data to create and refine fraud detection rules that identify fraudulent behavior Optimize rules to reduce friction and regulate customer workflows in real time Provide clear, persuasive analyses to technical and non-technical audiences, including occasional on-site customer presentations Advise clients on best practices for technical implementation and analysis of ThreatMetrix DDP and other LexisNexis Risk Solutions Maintain ongoing relationships with client stakeholders including fraud managers, risk analysts, application developers, and project managers Collaborate internally with other ThreatMetrix / LNRS teams to support client outcomes Requirements Quantitative or technical degree 3+ years of experience managing large customer-facing solutions 3+ years of experience in financial services, banks, or e-commerce organizations 3+ years of experience delivering analytics using Python (pandas, sklearn, matplotlib) or R Demonstrated competence with SQL and Excel for reporting Ability to conduct root-cause analysis of client issues and learn new products Motivation to help customers succeed through value delivered via proof-of-concept analysis Strong communication skills, including presenting technical findings to non-technical stakeholders Extensive multi-tasking and prioritization skills to excel in a fast-paced environment with frequently changing priorities Experience investigating financial crimes and fraud, including account takeover, card not present, money laundering, and social engineering Knowledge or research in cybersecurity areas such as browser fingerprinting, public key infrastructure, computer networking, and device authentication Experience with statistical/scorecard modeling or graph analysis to generate insights related to credit risk or fraud detection Tools and Technologies Python (pandas, sklearn, matplotlib) R SQL Excel ThreatMetrix DDP Location and Compensation Location: Georgia (onsite) Base pay range: USD 104,900 - 174,700 per year Incentive: Eligible for an annual incentive bonus #J-18808-Ljbffr RELX

Vacancy posted 2 days ago
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