Fraud Data Analyst

This is a fully remote position, open to applicants in New York.

📋 Description

• Examine questionable activities and intricate fraud cases to pinpoint emerging risks and concerns.

• Analyze data to develop and refine rules that detect fraud, minimize friction, and optimize customer workflows in real time.

• Provide compelling analyses to both technical and non-technical audiences, occasionally presenting in person at client locations.

• Advise clients on best practices for the technical implementation and analysis of ThreatMetrix DDP and other LexisNexis Risk Solutions offerings.

• Foster ongoing relationships with clients’ fraud managers, risk analysts, application developers, and project managers.

• Collaborate with other ThreatMetrix LNRS teams internally.

⛳️ Requirements

• Degree in a quantitative or technical field.

• Over 3 years of experience managing substantial customer-facing solutions.

• More than 3 years of experience in financial services, banking, or e-commerce sectors.

• At least 3 years of experience delivering analytics using Python (pandas, sklearn, matplotlib) or R.

• Proven proficiency in using SQL and Excel for reporting purposes.

• Openness to conducting root-cause analysis of client issues and acquiring knowledge about new products.

• Capability to provide value through proof-of-concept analyses.

• Exceptional communication skills, including the ability to present technical findings to non-technical stakeholders.

• Strong multitasking and prioritization abilities.

• Experience in investigating financial crimes and fraud, such as account takeover, card-not-present fraud, money laundering, and social engineering.

• Knowledge or research experience in cybersecurity, covering topics like browser fingerprinting, public key infrastructure, computer networking, and device authentication.

• Background in statistical/scorecard modeling or graph analysis, particularly related to credit risk or fraud detection.

🏝️ Benefits

• Annual incentive bonus.

• Country-specific benefits.

• Accommodations for an inclusive hiring process.