Fraud Data Analyst: Real-Time Risk & Insights Consultant

LexisNexis Risk Solutions; Northern (KY); Hybrid; USD 105,000 - 175,000; Full time

Job summary

LexisNexis Risk Solutions’ Fraud Data Analyst works with a customer engagement team to support large banking, financial, and e-commerce clients deploying fraud and identity solutions. This is primarily a consultant role with a strong analytics focus.

Responsibilities include reviewing suspicious activity, building rules to identify fraud in real-time, and delivering analyses to both technical and non-technical audiences, sometimes on-site at the customer site.

Qualifications

• Quantitative or technical degree required.
• 3+ years experience managing large customer-facing solutions.
• 3+ years experience in financial services, banks, or e-commerce.
• Experience delivering analytics using Python or R.
• Demonstrated competence using SQL and Excel for reports.

Responsibilities

• Review suspicious activity and complex fraud cases to identify risks and issues.
• Analyze data to build and adjust rules that identify fraud in real-time.
• Deliver persuasive analyses to technical and non-technical audiences, sometimes on-site at client sites.
• Advise clients on best practices for technical implementation and analysis of ThreatMetrix DDP and LNRS solutions.
• Maintain relationships with client fraud managers, risk analysts, and project teams.

Skills

Python

SQL

Excel

R

Data analysis

Communication

Fraud analytics

Education

Quantitative or technical degree

Job description

LexisNexis Risk Solutions’ Fraud Data Analyst works with a customer engagement team to support large banking, financial, and e-commerce clients deploying fraud and identity solutions. This is primarily a consultant role with a strong analytics focus.

Responsibilities include reviewing suspicious activity, building rules to identify fraud in real-time, and delivering analyses to both technical and non-technical audiences, sometimes on-site at the customer site.