Fraud Analytics Consultant

LexisNexis Risk Solutions; Georgia; Hybrid; USD 105,000 - 175,000; Full time

Benefits offered by this job

Annual incentive bonus

Country-specific benefits

Job summary

LexisNexis Risk Solutions is hiring a Fraud Data Analyst to support banking, financial, and e-commerce clients with fraud and identity solutions. This consultant-style role blends technical analytics with client-facing delivery, including real-time rule tuning and risk assessment.

You will work with SQL, Python, and Excel to generate actionable insights, present findings to stakeholders, and guide implementations for robust fraud controls.

Qualifications

• Degree in quantitative or technical field required.
• 3+ years of experience managing large customer-facing solutions.
• 3+ years in financial services, banks, or e-commerce.
• 3+ years delivering analytics using Python or R.
• Experience with SQL and Excel reports.

Responsibilities

• Review suspicious activity and complex fraud cases to identify risks.
• Analyze data to build and adjust rules for fraud detection in real time.
• Deliver analyses to technical and non-technical audiences, sometimes on-site.
• Advise clients on implementation and analysis of ThreatMetrix and LNRS tools.
• Maintain relationships with client fraud managers, risk analysts and developers.

Skills

Communication skills

Analytical thinking

Education

Quantitative or technical degree

Tools

Python

SQL

Excel

pandas

sklearn

matplotlib

Job description

LexisNexis Risk Solutions is hiring a Fraud Data Analyst to support banking, financial, and e-commerce clients with fraud and identity solutions. This consultant-style role blends technical analytics with client-facing delivery, including real-time rule tuning and risk assessment.

You will work with SQL, Python, and Excel to generate actionable insights, present findings to stakeholders, and guide implementations for robust fraud controls.