Fraud Data Analyst

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

📋 Description

• Evaluate suspicious activities, fraud alerts, and intricate fraud cases to pinpoint emerging risks, trends, and weaknesses.

• Examine extensive datasets to create, enhance, and sustain fraud detection rules, models, and workflows.

• Carry out root cause analyses to explore client challenges and devise effective solutions.

• Present analyses and recommendations through reports, presentations, and client consultations.

• Guide clients in the implementation and optimization of the ThreatMetrix Digital Identity Network, Digital Device Profiling, and other LexisNexis Risk Solutions offerings.

• Collaborate with clients to refine fraud mitigation strategies while balancing customer experience and operational goals.

• Conduct proof-of-concept analyses and showcase measurable business value.

• Work alongside fraud managers, risk analysts, developers, project managers, and customer stakeholders.

• Cultivate and maintain client relationships as a trusted consultant and subject matter expert.

• Create reports, dashboards, and analytical outputs utilizing SQL, Excel, Python, R, and various analytics tools.

• Investigate emerging fraud techniques, cybersecurity developments, and financial crime threats.

• Assist internal teams with product feedback, solution improvements, and client-related insights.

⛳️ Requirements

• Bachelor's degree in a quantitative, technical, analytical, or related discipline.

• Over 3 years of experience supporting customer-facing technology, analytics, or fraud prevention initiatives.

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

• At least 3 years of advanced analytics experience using Python, R, or comparable tools.

• High proficiency in SQL and Excel.

• Experience in investigating fraud, financial crimes, or suspicious activities, including account takeover, card-not-present fraud, money laundering, and social engineering attacks.

• Capability to conduct root cause analysis and resolve complex business and technical issues.

• Excellent communication and presentation abilities.

• Skill in managing multiple priorities in a fast-paced, client-facing setting.

• Strong customer service orientation.

• Preferred: experience in fraud prevention, digital identity, authentication, risk management, or financial crime solutions.

• Preferred: understanding of cybersecurity concepts, such as browser fingerprinting, device intelligence, PKI, computer networking, and device authentication.

• Preferred: familiarity with ThreatMetrix or similar fraud and identity platforms.

• Preferred: knowledge of machine learning, predictive analytics, statistical modeling, scorecard development, or graph analytics.

• Preferred: experience in developing fraud detection strategies and risk-based decision-making frameworks.

• Preferred: knowledge of AML, KYC, fraud operations, and regulatory compliance practices.

• Preferred: experience with enterprise banking, financial services, or large-scale e-commerce organizations.

• Preferred: ability to influence client strategies and act as a trusted advisor.

🏝️ Benefits

• Annual incentive bonus.

• Country-specific benefits.

• Accommodation or adjustment support during the hiring process.