Fraud Data Analyst

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

Fraud alert: Criminals may pose as recruiters asking for money or personal information. RELX never requests money or banking details from job applicants.