{"schemaVersion":"jobsearcher.job.v1","id":"cdfd4123ef4c2fb8de5ebba8","url":"https://jobsearcher.com/jobs/cdfd4123ef4c2fb8de5ebba8","canonicalUrl":"https://jobsearcher.com/jobs/cdfd4123ef4c2fb8de5ebba8","title":"Fraud Data Analyst","description":"About the Business\nLexisNexis® Risk Solutions provides customers with solutions and decision tools that assist them in evaluating and predicting risk and enhancing fraud detection. We use the power of data and advanced analytics to help our customers make better, timelier decisions. Our innovative solutions enable our clients to manage risks like identity theft, fraud, money laundering and terrorism, and prevent financial crimes. Our core mission is to ultimately help make communities safer and to protect those who may be vulnerable to fraud. Drawing from the collective expertise of our experienced team, we continuously evolve to stay a step ahead of fraudsters. Every day, as millions go about their lives, it's our behind-the-scenes efforts that ensure their security, giving them the confidence to trust and engage online without fear of being de-frauded.\n\nAbout the Role:\n\nThe Fraud Data Analyst works as part of a customer engagement team to support large banking, financial, and e-commerce customers in their deployment of fraud and identity solutions. This is primarily a consultant role with a technical and analytics bent.\n\nResponsibilities:\n\nReview suspicious activity and complex fraud cases to identify new risks and issues\nAnalyze data in order to build and adjust rules that identify fraud, reduce friction, and regulate customer workflows in real-time\nDeliver persuasive analyses to both technical and non-technical audiences – sometimes in-person at the customer site\nAdvise clients on best practices for their technical implementation and analysis of ThreatMetrix DDP and other LexisNexis Risk Solutions Maintain on-going relationships with each client’s fraud managers, risk analysts, application developers, project managers as well as internally with other ThreatMetrix LNRS teams\n\nQualifications:\n\nQuantitative or technical degree\n3+ years of experience managing large customer-facing solutions\n3+ years of experience in financial services, banks, or e-commerce organizations\n3+ years of experience delivering analytics using tools such as Python (pandas, sklearn, matplotlib) or R\nDemonstrated competence using SQL and Excel for reports\nWillingness to conduct root-cause analysis of client’s issues and learn new products\nMotivated to help customers succeed and deliver value through proof-of-concept analysis\nExcellent communication skills, with the ability to present technical findings to non-technical stakeholders\nExtensive multi-tasking and prioritization skills. Needs to excel in fast paced environment with frequently changing priorities.\nExperience investigating financial crimes and fraud - account takeover, card not present, money laundering, social engineering etc.\nKnowledge or research involving cybersecurity - browser-fingerprinting, public key infrastructure, computer networking, device authentication etc.\nExperience in statistical/scorecard modeling or graph analysis to deliver insights – especially as it pertains to credit risk or fraud detection\nU.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.\n\nWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.\n\nWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.\n\nCriminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .\n\nPlease read our Candidate Privacy Policy .\n\nWe are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.\n\nUSA Job Seekers:\n\nEEO Know Your Rights .","company":"RELX","rawCompany":"relx","city":"Brunswick","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-08-23T09:27:09.167Z","occupations":[{"code":"13-2099.04","title":"Fraud Examiners, Investigators and Analysts","slug":"fraud-examiners-investigators-and-analysts"},{"code":"33-3021.06","title":"Intelligence Analysts","slug":"intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"561611","title":"Investigation and Personal Background Check Services","slug":"investigation-and-personal-background-check-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Fraud Data Analyst","description":"About the Business\nLexisNexis® Risk Solutions provides customers with solutions and decision tools that assist them in evaluating and predicting risk and enhancing fraud detection. We use the power of data and advanced analytics to help our customers make better, timelier decisions. Our innovative solutions enable our clients to manage risks like identity theft, fraud, money laundering and terrorism, and prevent financial crimes. Our core mission is to ultimately help make communities safer and to protect those who may be vulnerable to fraud. Drawing from the collective expertise of our experienced team, we continuously evolve to stay a step ahead of fraudsters. Every day, as millions go about their lives, it's our behind-the-scenes efforts that ensure their security, giving them the confidence to trust and engage online without fear of being de-frauded.\n\nAbout the Role:\n\nThe Fraud Data Analyst works as part of a customer engagement team to support large banking, financial, and e-commerce customers in their deployment of fraud and identity solutions. This is primarily a consultant role with a technical and analytics bent.\n\nResponsibilities:\n\nReview suspicious activity and complex fraud cases to identify new risks and issues\nAnalyze data in order to build and adjust rules that identify fraud, reduce friction, and regulate customer workflows in real-time\nDeliver persuasive analyses to both technical and non-technical audiences – sometimes in-person at the customer site\nAdvise clients on best practices for their technical implementation and analysis of ThreatMetrix DDP and other LexisNexis Risk Solutions Maintain on-going relationships with each client’s fraud managers, risk analysts, application developers, project managers as well as internally with other ThreatMetrix LNRS teams\n\nQualifications:\n\nQuantitative or technical degree\n3+ years of experience managing large customer-facing solutions\n3+ years of experience in financial services, banks, or e-commerce organizations\n3+ years of experience delivering analytics using tools such as Python (pandas, sklearn, matplotlib) or R\nDemonstrated competence using SQL and Excel for reports\nWillingness to conduct root-cause analysis of client’s issues and learn new products\nMotivated to help customers succeed and deliver value through proof-of-concept analysis\nExcellent communication skills, with the ability to present technical findings to non-technical stakeholders\nExtensive multi-tasking and prioritization skills. Needs to excel in fast paced environment with frequently changing priorities.\nExperience investigating financial crimes and fraud - account takeover, card not present, money laundering, social engineering etc.\nKnowledge or research involving cybersecurity - browser-fingerprinting, public key infrastructure, computer networking, device authentication etc.\nExperience in statistical/scorecard modeling or graph analysis to deliver insights – especially as it pertains to credit risk or fraud detection\nU.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.\n\nWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.\n\nWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.\n\nCriminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .\n\nPlease read our Candidate Privacy Policy .\n\nWe are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.\n\nUSA Job Seekers:\n\nEEO Know Your Rights .","datePosted":"2026-08-23T09:27:09.167Z","dateModified":"2026-08-23T09:27:09.167Z","hiringOrganization":{"@type":"Organization","name":"RELX","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brunswick","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cdfd4123ef4c2fb8de5ebba8"},"url":"https://jobsearcher.com/jobs/cdfd4123ef4c2fb8de5ebba8"}}