Fraud Data Analyst
RELX INC
- Alpharetta, Georgia, United States
- Alpharetta, Georgia, United States
About
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 the 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 and maintain ongoing 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
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 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 a 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.
Benefits are available for eligible employees (details vary by location).
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.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.