Senior Engineer - Fraud Detection (Remote)

Summary: Principal technical authority for Digital Fraud Detection Intelligence & Engineering, establishing engineering strategy and standards to detect sophisticated fraud attacks. Designs high-fidelity detections, optimizes data pipelines, and partners with data science on AI/ML model operationalization.

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> Connecting People. Uniting the World. There’s never been a more exciting time to join United Airlines! As a global company that operates in hundreds of locations around the world — with millions of customers and tens of thousands of employees — we have a unique responsibility to uplift and provide opportunities in the places where we work, live and fly.
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> We’re on a path to becoming the best airline in aviation history. Join our Cybersecurity and Digital Risk (CDR) team to help lead the industry in cyber safety, security and resilience. United's CDR team plays a critical role in protecting our operations by enabling secure and resilient systems, managing threats and vulnerabilities, and ensuring swift response and recovery. Our mission is to seamlessly embed cybersecurity and digital risk management into every aspect of our business. We help drive progress and growth through trusted digital solutions, safeguarding assets and empowering our team, all while promoting a cyber-safe and secure environment that supports resilient airline operations.
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> United offers a competitive benefits package aimed at keeping you happy, healthy, and well-traveled. From employee-run "Business Resource Group" communities to world-class benefits like parental leave, 401(k), and privileges like space-available travel, United is truly a one-of-a-kind place to work. Are you ready to travel the world and help us keep our airline cyber safe? Apply today!
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> Job Overview and Responsibilities
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> The Sr Engineer – Fraud Intelligence & Detection serves as the principal technical authority for Digital Fraud Detection Intelligence & Engineering, establishing the engineering strategy, standards and capabilities used to detect sophisticated fraud attacks across customer-facing channels. This role applies modern cybersecurity detection-engineering practices to fraud by correlating cyber telemetry with identity, authentication, device, behavioral, transaction, loyalty, booking, payment, telephony and digital-channel signals.
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> - Technical Strategy & Engineering Standards: Own the Digital Fraud Detection Engineering technical roadmap and establish engineering standards, reference patterns, detection lifecycle practices and detection-as-code methodologies.
> - Detection & Signal Engineering: Design, build and optimize high-fidelity behavioral, anomaly, rules-based, risk-scoring and correlation detections across cyber, identity, customer and transaction telemetry.
> - Data, Pipeline & Integration Engineering: Engineer reusable signals, APIs, enrichment, data pipelines and integrations supporting real-time and batch fraud detection, decisioning and response.
> - Threat-Informed Detection & Hunting: Translate CTI/fraud intelligence, adversary behaviors and attack patterns into detection hypotheses, production detections and proactive fraud threat-hunting activities.
> - Detection Quality & Performance Engineering: Establish testing, back-testing, validation and deployment practices; monitor precision, recall, false-positive/negative rates, coverage, drift and signal degradation.
> - Advanced Analytics, AI & Automation: Partner with Data Science and Analytics on feature engineering, machine-learning and AI model operationalization, generative AI–assisted detection development, automation and advanced correlation methods.
> - Technical Leadership & Partnership: Serve as the senior technical liaison to Cyber Threat Detection Engineering, CIAM, Data Engineering, Security Architecture and Fraud Operations; mentor technical resources and influence platform/data architecture.
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> ### What’s needed to succeed (Minimum Qualifications):
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> - Bachelor's degree required, with preference for Computer Science, Cybersecurity, Information Systems, Data Engineering, Software Engineering, Mathematics, Statistics or related technical field.
> - 3 years of relevant experience in cybersecurity detection engineering, security engineering, fraud engineering, data engineering, software engineering or a closely related discipline, including demonstrated senior technical leadership.
> - Advanced proficiency in Python and SQL
> - Experience with APIs, Git/source control, automated testing and modern engineering workflows
> - Demonstrated ability to use AI-assisted engineering and analytics tools responsibly to accelerate detection development, investigation and documentation while validating outputs and protecting sensitive data.
> - Demonstrated experience designing detections, analytics or data solutions across large-scale security, identity, behavioral or transactional datasets.
> - Must be legally authorized to work in the United States for any employer without sponsorship
> - Successful completion of interview required to meet job qualification
> - Reliable, punctual attendance is an essential function of the position
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> ### What will help you propel from the pack (Preferred Qualifications):
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> - Advanced technical degree in a relevant field.
> - Certifications: GIAC, CISSP, cloud/data engineering, security engineering or comparable technical certifications.
> - Experience with CIAM, device intelligence, behavioral biometrics, bot detection, graph analytics, anomaly detection, machine learning or generative AI. Additional experience with AI/ML model evaluation, explainability, monitoring and governance; SIEM/SOAR; cloud data platforms; event streaming/Kafka or equivalent; CI/CD; fraud decision engines; or real-time risk platforms.
> - Knowledge of threat-informed defense/MITRE ATT&CK concepts and ability to apply adversary-centric methodologies to fraud.
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> Posting Expiration: 12/9/2026