Remote Fraud Data Analyst - Risk & Analytics

LexisNexis Special Services Inc.; New York, Northern (NY, KY); Hybrid; USD 105,000 - 175,000; Full time

Job summary

LexisNexis Special Services Inc. is seeking a Fraud Data Analyst to support large banking, financial services, and e-commerce clients in fraud prevention solutions. The role blends data analytics, fraud investigation, and technical consulting with a client-focused approach.

You will assess fraud patterns, analyze performance data, develop detection strategies, and provide actionable recommendations to improve fraud prevention while minimizing friction for legitimate customers.

Qualifications

• Bachelor's degree in a quantitative, technical, analytical field.
• 3+ years of experience in analytics, fraud prevention, or customer-facing tech roles.
• 3+ years in financial services, fintech, payments, or e-commerce environments.
• Proficient in Python (pandas, scikit-learn) and SQL for data analysis.

Responsibilities

• Review suspicious activity and complex fraud cases to identify risks and trends.
• Analyze large datasets to build and maintain fraud detection rules and models.
• Perform root cause analyses and deliver actionable client recommendations.
• Develop reports and dashboards with SQL, Excel, Python, and R for clients and internal teams.

Skills

Python

SQL

Excel

Fraud analysis

Education

Bachelor's degree

Tools

ThreatMetrix

R

Job description

LexisNexis Special Services Inc. is seeking a Fraud Data Analyst to support large banking, financial services, and e-commerce clients in fraud prevention solutions. The role blends data analytics, fraud investigation, and technical consulting with a client-focused approach.

You will assess fraud patterns, analyze performance data, develop detection strategies, and provide actionable recommendations to improve fraud prevention while minimizing friction for legitimate customers.