Senior Cybersecurity Analyst | Fraud; Remote

Position Purpose

We are seeking a Cybersecurity Senior Fraud Analyst to support our Identity Fraud Prevention Team focusing on AI-driven fraud detection, deepfake mitigation, and advanced fraud penetration tactics. The role requires deep expertise in fraud detection methodologies, cybersecurity frameworks, and automation-driven fraud prevention.

Lead investigations into complex identity fraud schemes, develop and refine AI-powered detection models, and collaborate cross-functionally to strengthen defenses.

• Conduct in-depth analysis of synthetic identity fraud, credential stuffing, account takeovers, and deepfake-enabled fraud.
• Develop and continuously refine AI-powered fraud detection models.
• Identify adversarial AI threats including automated bot fraud, GenAI-enabled phishing, and social engineering attacks.
• Research and implement machine learning models for deepfake-generated identities, voice fraud, and AI-assisted schemes.
• Assess vulnerabilities in biometric authentication, document verification, and AI-driven fraud defenses.
• Monitor dark web and underground fraud forums for emerging trends.
• Collaborate with security engineers, data scientists, staff analysts, cybersecurity teams, and fraud risk managers to escalated cases and implement risk mitigation.
• Assist investigations by providing AI-driven insights and real-time threat intelligence.
• Partner with engineering and data teams to improve detection algorithms and automation frameworks.
• Contribute to next-gen identity fraud prevention frameworks and stay updated on NIST 800‑63 and AI risk mitigation best practices.
• Advocate for ethical AI use in fraud detection and ensure compliance with regulatory and industry standards.

• 3‑5 years of experience in fraud detection, cybersecurity, or AI-driven fraud prevention.
• Strong understanding of identity verification, fraud analytics, and adversarial AI.
• Hands‑on experience with fraud detection tools, machine learning models, and automation frameworks.
• Proficiency in Python, SQL, or other scripting languages for fraud analysis and data investigation.
• Knowledge of deepfake detection techniques, AI risk mitigation, and biometric security.
• Familiarity with fraudster TTPs in digital identity fraud and organized retail crime.
• Experience with fraud modeling, anomaly detection, and AI-driven threat intelligence tools.

• Certifications such as CFE, CEH, or CISSP.
• Experience working in CIAM, IAM, or identity fraud prevention environments.
• Background in threat hunting, adversarial AI research, or fraud penetration testing.
• Understanding of Generative AI ethics, deepfake countermeasures, and secure AI development principles.

• 50% Analysis – Synthesize data to develop solutions and present to stakeholders.
• 20% Collaborate – Partner cross‑functionally to identify trends and resolve issues.
• 20% Drive Execution – Implement solutions to meet customer expectations and ensure initiative/project goals are met timely.
• 10% Support and Enable – Mentor junior level Analyst.

• Reports to Manager or Senior Manager.
• No direct reports.

• Typically requires overnight travel less than 10% of the time.

• Work mainly seated; occasional movement and light lifting.

• Located in a comfortable indoor environment; unpleasant conditions are infrequent and not objectionable.

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

• Knowledge, skills and abilities typically acquired through completion of a bachelor’s degree program or equivalent in a related field.

• 5+ years.

• Action Oriented
• Collaborates
• Communicates Effectively
• Customer Focus
• Drives Results