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

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Demonstrates expertise in fraud detection and prevention through advanced analytics, utilizing tools such as Python and SQL. Capable of delivering actionable insights and recommendations while maintaining strong client relationships in fast-paced environments.

Highest-signal resume keywords

Fraud Detection StrategiesAdvanced Analytics Using PythonSQL ProficiencyRoot Cause AnalysisClient Relationship Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLRExcelData AnalysisFraud InvestigationStatistical ModelingPredictive AnalyticsMachine LearningData Visualization

Soft Skills

Strong CommunicationPresentation SkillsCustomer Service MindsetProblem-SolvingTime Management

Tools & Technologies

ThreatMetrixLexisNexis Risk SolutionsDigital Identity NetworkDevice ProfilingAnalytics Tools

Industry Keywords

Financial ServicesBankingFintechRisk ManagementE-CommerceAMLKYCCybersecurityFraud OperationsDigital Identity

Tech Stack

Tools & technologies

Cyber SecurityPandasPythonScikit-LearnSQL

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 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 business value through data-driven insights
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 experience using Python, R, or similar analytical tools
Python proficiency including pandas, scikit-learn, and matplotlib
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
Root cause analysis and complex business and technical problem-solving abilities
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

Benefits

Comp & perks

Annual incentive bonus
Country-specific benefits
Disability and accommodation support during hiring process