Fraud Data Analyst

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $104.9k - $174.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 3%

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

• Work as part of a customer engagement team supporting large banking, financial, and e-commerce customers deploying fraud and identity solutions • Review suspicious activity and complex fraud cases to identify new risks and issues • Analyze data to build and adjust rules that identify fraud, reduce friction, and regulate customer workflows in real time • Deliver persuasive analyses to technical and non-technical audiences, sometimes in person at customer sites • Advise clients on best practices for technical implementation and analysis of ThreatMetrix DDP and other LexisNexis Risk Solutions • Maintain ongoing relationships with clients’ fraud managers, risk analysts, application developers, and project managers • Collaborate internally with other ThreatMetrix LNRS teams

🎯 Requirements

• Quantitative or technical degree • 3+ years of experience managing large customer-facing solutions • 3+ years of experience in financial services, banks, or e-commerce organizations • 3+ years of experience delivering analytics using Python (pandas, sklearn, matplotlib) or R • Demonstrated competence using SQL and Excel for reports • Willingness to conduct root-cause analysis of client’s issues and learn new products • Motivation to help customers succeed and deliver value through proof-of-concept analysis • Excellent communication skills, with the ability to present technical findings to non-technical stakeholders • Extensive multi-tasking and prioritization skills; ability to excel in a fast-paced environment with frequently changing priorities • Experience investigating financial crimes and fraud, including account takeover, card not present, money laundering, and social engineering • Knowledge or research involving cybersecurity, including browser-fingerprinting, public key infrastructure, computer networking, and device authentication • Experience in statistical/scorecard modeling or graph analysis, especially for credit risk or fraud detection

🏖️ Benefits

• Annual incentive bonus • Country specific benefits • Disability accommodation and adjustment support • Equal opportunity employment protections