Fraud Data Analyst

About the Business LexisNexis® 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. About the Team: This client facing team is driving evidence-based solutions to help our clients make more informed decisions and help mitigate risk. About the Role: The 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. Responsibilities Review suspicious activity and complex fraud cases to identify new risks and issues Analyze data in order to build and adjust rules that identify fraud, reduce friction, and regulate customer workflows in real-time Deliver persuasive analyses to both technical and non-technical audiences – sometimes in-person at the customer site Advise 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 Qualifications: Quantitative or technical degree 2+ years of experience managing large customer-facing solutions 2+ years of experience in financial services, banks, or e-commerce organizations 2+ years of experience delivering analytics using tools such as 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 Motivated 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. Needs to excel in fast paced environment with frequently changing priorities. Experience investigating financial crimes and fraud -- account takeover, card not present, money laundering, social engineering etc. Knowledge or research involving cybersecurity - browser-fingerprinting, public key infrastructure, computer networking, device authentication etc. Experience in statistical/scorecard modeling or graph analysis to deliver insights – especially as it pertains to credit risk or fraud detection U.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. We 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. We 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. Criminals 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 . Please read our Candidate Privacy Policy . We 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. USA Job Seekers: EEO Know Your Rights .