Fraud Data Analyst

RELX

. Review suspicious activity, fraud alerts, and complex fraud cases to identify emerging risks, trends, and vulnerabilities .

Posted 9/24/2026full-timeRemote • New York • United StatesMid-LevelSenior💰 $115,400 - $192,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in fraud detection and prevention through advanced analytics, utilizing tools such as SQL, Python, and R. Capable of advising clients on risk management strategies while delivering actionable insights and maintaining strong client relationships.

Highest-signal resume keywords

Fraud Detection StrategiesAdvanced Analytics Using PythonSQL ProficiencyClient Relationship ManagementRoot Cause Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonRData AnalysisFraud InvestigationStatistical ModelingPredictive AnalyticsMachine LearningDashboard DevelopmentFraud Detection Rules

Soft Skills

Strong CommunicationPresentation SkillsCustomer Service MindsetProblem SolvingAbility to Manage Multiple Priorities

Tools & Technologies

ThreatMetrixLexisNexis Risk SolutionsExcelDigital Identity NetworkDevice Profiling

Industry Keywords

Financial ServicesRisk ManagementE-CommerceAMLKYCCybersecurityFraud OperationsDigital IdentityAuthenticationPayments

Tech Stack

Tools & technologies

Cyber SecurityPythonSQL

About the role

Key responsibilities & impact

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
Conduct root cause analyses to investigate client issues and develop effective solutions
Deliver analyses and recommendations through presentations, reports, and client consultations
Advise clients on implementing and optimizing ThreatMetrix Digital Identity Network, Digital Device Profiling, 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
Collaborate with fraud managers, risk analysts, developers, project managers, and customer stakeholders
Build and maintain client relationships 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
Support internal teams with product feedback, solution enhancements, and client-related insights

Requirements

What you’ll need

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 of experience within financial services, banking, fintech, payments, risk management, or e-commerce environments
3+ years of advanced analytics using Python, R, or similar tools
Strong proficiency with SQL and Excel
Experience investigating fraud, financial crimes, or suspicious activity, including account takeover, card-not-present fraud, money laundering, and social engineering attacks
Ability to perform root cause analysis and solve complex business and technical challenges
Strong communication and presentation skills
Ability to manage multiple priorities in a fast-paced, client-facing environment
Strong customer service mindset
Preferred: experience with fraud prevention, digital identity, authentication, risk management, or financial crime solutions
Preferred: knowledge of cybersecurity concepts, including browser fingerprinting, device intelligence, PKI, computer networking, and device authentication
Preferred: experience with ThreatMetrix or similar fraud and identity platforms
Preferred: familiarity with machine learning, predictive analytics, statistical modeling, scorecard development, or graph analytics
Preferred: experience developing fraud detection strategies and risk-based decisioning frameworks
Preferred: knowledge of AML, KYC, fraud operations, and regulatory compliance practices
Preferred: experience with enterprise banking, financial services, or large e-commerce organizations
Preferred: ability to influence client strategy and serve as a trusted advisor

Benefits

Comp & perks

Annual incentive bonus
Country-specific benefits
Accommodation or adjustment support during the hiring process