Hybrid Fraud Data Analyst

at RELX

• Job title: Fraud Data Analyst
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: $102,800 - $171,300 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cyber Security, Pandas, Python, Scikit-Learn, SQL
• Location requirements: Hybrid, United States

About the role

• Fraud Data Analyst working with banking and e-commerce clients to mitigate fraud risks. Analyzing data and advising technical implementations for financial solutions.

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

Requirements

• 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

Benefits

• Comprehensive, multi-carrier program for medical, dental and vision benefits
• 401(k) with match and an Employee Share Purchase Plan
• Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
• Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
• In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice