Senior Engineer - Fraud Detection

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Senior Engineer - Fraud Detection in USA new

United Airlines
Full time
Email

USA
11/11/2026
Report

Chicago, IL

Responsibilities

Own the Digital Fraud Detection Engineering roadmap, standards, reference patterns, detection lifecycle practices, and detection-as-code methodologies.
Design, build, and optimize behavioral, anomaly, rules-based, risk-scoring, and correlation detections across cyber, identity, customer, and transaction telemetry.
Engineer reusable signals, APIs, enrichment, data pipelines, and integrations for real-time and batch fraud detection, decisioning, and response.
Translate cyber threat intelligence, fraud intelligence, adversary behaviors, and attack patterns into production detections and proactive fraud threat hunting.
Establish testing, back-testing, validation, deployment, and monitoring practices for detection quality, coverage, drift, and signal degradation.
Partner with Data Science and Analytics on feature engineering, machine-learning and AI model operationalization, generative AI-assisted detection development, and automation.
Serve as a senior technical liaison across Cyber Threat Detection Engineering, CIAM, Data Engineering, Security Architecture, and Fraud Operations, while mentoring technical resources.

Requirements

Bachelor’s degree in a relevant technical field is required; preferred fields include Computer Science, Cybersecurity, Information Systems, Data Engineering, Software Engineering, Mathematics, and Statistics.
At least 3 years of relevant experience in cybersecurity detection engineering, security engineering, fraud engineering, data engineering, software engineering, or a closely related discipline, including senior technical leadership.
Advanced proficiency in Python and SQL.
Experience with APIs, Git or source control, automated testing, and modern engineering workflows.
Experience designing detections, analytics, or data solutions across large-scale security, identity, behavioral, or transactional datasets.
Ability to use AI-assisted engineering and analytics tools responsibly while validating outputs and protecting sensitive data.
Preferred qualifications include an advanced technical degree, GIAC or CISSP certification, and experience with CIAM, device intelligence, behavioral biometrics, bot detection, graph analytics, anomaly detection, machine learning, generative AI, model evaluation, SIEM/SOAR, cloud data platforms, event streaming, fraud decision engines, or real-time risk platforms.
Knowledge of threat-informed defense and MITRE ATT&CK concepts is preferred.
Must be legally authorized to work in the United States for any employer without sponsorship; successful interview and reliable, punctual attendance are required.

Benefits

Remote position with medical, dental, vision, life, accident and disability, parental leave, employee assistance, commuter benefits, paid holidays, paid time off, 401(k), and flight privileges.
Eligible for bonus and/or long-term incentive compensation awards.

Salary: $118k - $153k/yr

United Airlines

United Airlines is a major U.S. carrier that provides passenger air travel and air cargo services across a global network spanning six continents. The company sells tickets and ancillary services through united.com and its mobile apps, operates the MileagePlus loyalty program with co-brand credit...

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