Fraud Data Analyst

🔥 1 hour ago

🗽 New York – Remote

🗽 New York – Remote

💵 $115.4k - $192.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RELX

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

RELX is a global provider of information-based analytics and decision tools for professional and business customers. The company focuses on enabling its clients to make better decisions, improve results, and enhance productivity by leveraging advanced technology and data. RELX serves various sectors, including Risk, Scientific, Technical & Medical, Legal, and Exhibitions, by offering specialized information and analytical tools that facilitate critical decision-making. The company is committed to corporate responsibility and delivering societal benefit through its products by contributing to scientific advancement, legal justice, and effective market transactions.

📋 Description

• 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

• 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

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