Fraud Data Analyst & Risk Analytics Consultant

LexisNexis Risk Solutions; New York (NY); On-site; USD 105,000 - 175,000; Full time

Benefits offered by this job

Annual incentive bonus

Country-specific benefits

Job summary

LexisNexis Risk Solutions is seeking a Fraud Data Analyst to support large banking, financial, and e-commerce clients in deploying fraud and identity solutions. This consultant role combines technical analytics with client-facing responsibilities.

You will review cases, develop real-time rules, and deliver analyses to diverse audiences while guiding clients on best practices and implementation details in a fast-paced environment.

Qualifications

• 3+ years managing large customer-facing solutions.
• 3+ years in financial services, banks, or e-commerce.
• 3+ years delivering analytics using Python or R.
• Demonstrated competence using SQL and Excel for reports.
• Excellent communication skills to present findings to non-technical stakeholders.

Responsibilities

• Review suspicious activity and complex fraud cases to identify risks.
• Analyze data to build and adjust fraud-detection rules in real time.
• Deliver persuasive analyses to technical and non-technical audiences, sometimes on-site.
• Advise clients on best practices for ThreatMetrix DDP implementations.
• Maintain relationships with client fraud managers and internal teams.

Skills

Python

SQL

Excel

Communication

Analytical thinking

Education

Quantitative or technical degree

Tools

ThreatMetrix DDP

SQL

Job description

LexisNexis Risk Solutions is seeking a Fraud Data Analyst to support large banking, financial, and e-commerce clients in deploying fraud and identity solutions. This consultant role combines technical analytics with client-facing responsibilities.

You will review cases, develop real-time rules, and deliver analyses to diverse audiences while guiding clients on best practices and implementation details in a fast-paced environment.