Fraud Analytics Consultant

RELX International; 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. You will analyze fraud patterns, build detection rules, and present actionable recommendations to both technical and non-technical stakeholders, while balancing security with customer experience.

The role combines data analytics, investigation, and consulting, requiring strong SQL, Python or R skills and

Qualifications

• Bachelor’s degree in a quantitative/technical field
• 3+ years of experience in customer-facing technology, analytics, or fraud prevention
• 3+ years in financial services, banking, fintech, payments, risk management, or e-commerce
• 3+ years of experience with Python (pandas, scikit-learn, matplotlib), R, or similar
• Strong SQL and Excel for data analysis, reporting, and performance monitoring
• Experience investigating fraud, financial crimes, or suspicious activity
• Demonstrated ability to perform root cause analysis and solve complex business and technical challenges
• Strong communication and presentation skills with the ability to translate technical findings into business-focused recommendations
• Proven ability to manage multiple priorities in a fast-paced, client-facing environment
• Strong customer service mindset with a passion for helping clients achieve measurable business outcomes

Responsibilities

• Review suspicious activity, fraud alerts, and complex fraud cases to identify emerging risks, trends, and vulnerabilities
• Analyze large datasets to build, optimize, and maintain fraud detection rules, models, and workflows that improve fraud prevention and operational efficiency
• Conduct root cause analyses to investigate client issues, identify contributing factors, and develop effective solutions
• Deliver impactful analyses and recommendations to both technical and non-technical stakeholders through presentations, reports, and client consultations
• Advise clients on best practices for implementing and optimizing ThreatMetrix® Digital Identity Network, Digital Device Profiling (DDP), and other LexisNexis Risk Solutions products
• Partner with clients to improve fraud mitigation strategies while balancing customer experience and operational objectives
• Perform proof-of-concept analyses and demonstrate measurable business value through data-driven insights
• Collaborate closely with fraud managers, risk analysts, developers, project managers, and other customer stakeholders to support solution adoption and performance optimization
• Build and maintain strong client relationships by serving as a trusted consultant and subject matter expert
• Develop reports, dashboards, and analytical deliverables using SQL, Excel, Python, R, and other analytics tools
• Research emerging fraud techniques, cybersecurity trends, and financial crime risks to provide proactive recommendations
• Support internal teams with product feedback, solution enhancements, and client-related insights

Skills

Python

SQL

Excel

Fraud analysis

Client-facing

Communication

Education

Bachelor’s degree in a quantitative field

Tools

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. You will analyze fraud patterns, build detection rules, and present actionable recommendations to both technical and non-technical stakeholders, while balancing security with customer experience.

The role combines data analytics, investigation, and consulting, requiring strong SQL, Python or R skills and