Fraud Data Analyst

Fraud Data Analyst supports banking, financial, and e-commerce customers with technical consulting and analytics for fraud and identity solutions.

Responsibilities

• Review suspicious activity and complex fraud cases to identify emerging risks and issues
• Analyze data to build and refine fraud detection rules
• Help reduce friction and regulate customer workflows in real time through rule optimization
• Present persuasive analyses to both technical and non-technical audiences, including occasional in-person delivery at customer sites
• Advise clients on best practices for technical implementation and analysis of ThreatMetrix DDP and other LexisNexis Risk Solutions tools
• Maintain ongoing relationships with each client’s fraud managers, risk analysts, application developers, and project managers
• Collaborate internally with other ThreatMetrix teams

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 with Python (pandas, sklearn, matplotlib) or R
• Demonstrated competence using SQL and Excel for reporting
• Ability and willingness to conduct root-cause analysis of client issues and learn new products
• Motivation to drive customer success through proof-of-concept analysis and delivered value
• Excellent communication skills, including presenting technical findings to non-technical stakeholders
• Strong multi-tasking and prioritization skills for a fast-paced environment with frequently changing priorities
• Experience investigating financial crimes and fraud, such as account takeover, card not present, money laundering, and social engineering
• Knowledge or research involving cybersecurity topics such as browser-fingerprinting, public key infrastructure, computer networking, and device authentication
• Experience in statistical or scorecard modeling or graph analysis to deliver insights, especially for credit risk or fraud detection

Technologies

• Python
• pandas
• sklearn
• matplotlib
• R
• SQL
• Excel
• ThreatMetrix DDP

Location

• Georgia (onsite)

Compensation

• USD 104,900 - 174,700 per year
• U.S. National Base Pay Range: $104,900 - $174,700
• Geographic differentials may apply in some locations to better reflect local market rates

Benefits

• Country specific benefits (see benefits specific to your location)
• Annual incentive bonus