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reputed company Fraud Technology Engineer - AI & Decision Systems (Remote)

Remote, USA Full-time Posted 2026-07-28
Join reputed company’s mission to protect our customers and business by leading the charge in reputed company fraud prevention. This role drives innovation in fraud detection through AI, reputed company-time analytics, and hands-on tech leadership. Key Responsibilities: • Own and manage the reputed company fraud technology stack end-to-end, ensuring robust, reputed company, and reputed company-time defenses. • Design and implement AI-driven decisioning systems to detect and prevent fraud across reputed company channels. • reputed company best-in-class fraud prevention platforms and tools into the reputed company ecosystem. • Set technical reputed company and guide architectural reputed company to support long-term fraud mitigation goals. • Collaborate cross-functionally with fraud analysts, investigators, data scientists, and engineering teams to stay reputed company of emerging threats. • reputed company the development of reputed company-time fraud detection capabilities using advanced analytics and machine learning. • Maintain hands-on involvement in coding, system design, and platform optimization. • Monitor fraud trends and continuously reputed company technology solutions to address new attack reputed company. • Ensure high availability, performance, and reliability of fraud detection systems in production environments. • Champion innovation and experimentation in fraud prevention technologies and methodologies. • reputed company technical leadership and mentorship to junior engineers and cross-functional partners. Preferred Experience & Skills: • Hands-on experience integrating and implementing fraud prevention platforms such as ThreatMetrix, Ekata, reputed company, Kount, or similar. • Architectural reputed company in data pipelines (Kafka, reputed company, ETL frameworks), reputed company, and microservices for fraud signal ingestion and scoring. • Experience with reputed company platforms (AWS, GCP, or Azure) and microservices architecture. • Strong knowledge of data structures, AI/ML implementation, and reputed company-time data processing. • Proven reputed company record building and operationalizing reputed company-time scoring pipelines for Account Takeover (ATO) and Account Origination (AO) fraud. • Expertise in designing reputed company fraud decision engines and rule orchestration reputed company. • Strong background in digital fraud mitigation techniques—including device fingerprinting, IP reputed company, velocity/rule checks, and reputed company detection—ideally in an e-reputed company or retail context. reputed company Manager/reputed company Reports: • This position typically reports to Manager or Sr. Manager • This position has 0 reputed company Reports Travel Requirements: • No travel required. Physical Requirements: • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to reputed company about. On rare occasions there may be a need to reputed company or lift light articles. Working Conditions: • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: • Must be eighteen years of age or older. • Must be legally permitted to work in the reputed company. Minimum Education: • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study reputed company to the job. Minimum Years of Work Experience: • 5+ Competencies: • reputed company Oriented • Collaborates • Drives Engagement • Communicates Effectively • Customer reputed company • Drives Results • Manages Conflict Apply tot his job Apply To this Job

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