Fraud Data Analyst: Risk Analytics & Client Insights

LexisNexis Risk Solutions FL Inc. Company; United States; Remote; USD 105,000 - 175,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a Fraud Data Analyst to support large banking, financial services, and e-commerce clients in implementing and optimizing fraud and identity solutions. This role blends data analytics, fraud investigation, technical consulting, and client engagement.

The ideal candidate is highly analytical with strong communication skills, able to translate findings into business recommendations, build rules and dashboards in SQL, Python, and Excel, and collaborate with

Qualifications

• Bachelor’s degree in a quantitative, technical, analytical, or related field.
• 3+ years of experience supporting customer-facing technology, analytics, or fraud prevention solutions.
• 3+ years in financial services, banking, fintech, payments, risk management, or e-commerce environments.
• 3+ years of advanced analytics using Python (pandas, scikit-learn, matplotlib), R, or similar tools.
• Strong proficiency with SQL and Excel for data analysis, reporting, and performance monitoring.
• Experience investigating fraud or financial crimes including account takeover and money laundering.
• Strong communication and presentation skills with the ability to translate findings into business recommendations.

Responsibilities

• Review suspicious activity, fraud alerts, and complex cases to identify risks and vulnerabilities.
• Analyze large datasets to build, optimize, and maintain fraud detection rules and models.
• Conduct root cause analyses to investigate client issues and develop solutions.
• Deliver analyses and recommendations to technical and non-technical stakeholders via presentations and reports.
• Advise clients on implementing and optimizing ThreatMetrix Digital Identity Network and related products.
• Collaborate with clients to improve fraud mitigation while balancing customer experience.
• Perform proof-of-concept analyses and demonstrate measurable business value through data-driven insights.
• Work with fraud managers, risk analysts, developers, and project managers to support solution adoption.
• Build and maintain client relationships as a trusted consultant and SME.
• Develop reports, dashboards, and deliverables using SQL, Excel, Python, and R.
• Research evolving fraud techniques and financial crime risks to provide proactive recommendations.
• Support internal teams with product feedback and client insights.

Skills

Analytical thinking

Client-facing

Communication skills

Root cause analysis

Multitasking

Problem solving

Education

Bachelor’s degree in a quantitative field

Tools

Python

R

SQL

Excel

ThreatMetrix

Job description

LexisNexis Risk Solutions is seeking a Fraud Data Analyst to support large banking, financial services, and e-commerce clients in implementing and optimizing fraud and identity solutions. This role blends data analytics, fraud investigation, technical consulting, and client engagement.

The ideal candidate is highly analytical with strong communication skills, able to translate findings into business recommendations, build rules and dashboards in SQL, Python, and Excel, and collaborate with