Cybersecurity Fraud Staff Engineer (Remote)

About the position

We are seeking a Staff Engineer - Identity Fraud Prevention to serve as the senior technical resource supporting our fraud prevention team. This role will own the technology design and strategy to combat identity-related fraud, including Account Origination (AO) and Account Takeover (ATO) attacks. You will play a pivotal role in building resilient, scalable, and intelligent fraud prevention solutions by leveraging modern CIAM (Customer Identity and Access Management) and fraud detection platforms. This is a highly technical leadership role that requires deep expertise in identity security, fraud prevention, authentication technologies, and risk-based decisioning. You will collaborate closely with fraud analysts, data scientists, engineering teams, and security teams to design, implement, and optimize fraud defenses that protect millions of users.

Responsibilities

• Own the technology strategy and architecture for fraud prevention related to AO and ATO across the enterprise.
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• Design and implement risk-based authentication (RBA), step-up verification, and identity proofing solutions to mitigate fraudulent access attempts.
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• Partner with fraud operations, cybersecurity, data science, and engineering teams to develop and deploy real-time fraud detection and prevention controls.
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• Evaluate, select, and integrate best-in-class CIAM, fraud detection, and identity verification technologies (e.g., risk-based authentication, device intelligence, behavioral biometrics, bot mitigation).
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• Develop machine learning-driven fraud models and signals to detect anomalies in identity-related behaviors.
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• Collaborate with security and IAM teams to enhance MFA, passwordless authentication, and adaptive access policies.
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• Build automated fraud orchestration capabilities that adapt in real time to emerging threats.
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• Stay ahead of the latest fraud trends, including synthetic identity fraud, credential stuffing, and bot-driven ATO attempts.
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• Guide engineering teams on secure coding practices to prevent vulnerabilities that could be exploited for fraud.
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• Partner with external vendors and industry leaders to continuously enhance fraud defenses.

Requirements

• 8+ years of experience in identity fraud prevention, IAM/CIAM, security engineering, or fraud technology development.
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• Strong expertise in Account Origination (AO) and Account Takeover (ATO) fraud prevention strategies.
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• Hands-on experience with fraud prevention platforms, such as ThreatMetrix or similar.
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• Deep knowledge of CIAM solutions like ForgeRock, Ping Identity, Microsoft Entra, or similar.
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• Strong understanding of risk-based authentication, step-up authentication, and identity proofing technologies.
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• Proficiency in anti-fraud techniques, including behavioral biometrics, device fingerprinting, bot mitigation, and anomaly detection.
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• Experience implementing real-time fraud detection and risk scoring models using machine learning and behavioral analytics.
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• Hands-on experience with APIs, microservices, and cloud-based architectures (AWS, GCP, or Azure).
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• Strong programming/scripting skills in Python, Java, or similar languages for building fraud-related automation.
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• Familiarity with industry standards and frameworks, such as NIST 800-63, PSD2, FIDO, and OpenID Connect.
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• Ability to troubleshoot complex fraud patterns and lead engineering teams in designing effective countermeasures.
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• Strong problem-solving, analytical, and communication skills with a passion for fighting fraud.

Nice-to-haves

• Experience with fraud signal aggregation and orchestration using tools like SAS, Feedzai, or custom ML models.
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• Knowledge of synthetic identity fraud detection techniques.
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• Experience designing and implementing zero-trust identity architectures.
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• Hands-on experience with bot mitigation solutions, such as PerimeterX, Cloudflare Bot Management, or Akamai Bot Manager.

Benefits