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
- 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 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.
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