Senior Engineer – Fraud Detection

United Airlines

. Serve as the principal technical authority for Digital Fraud Detection Intelligence & Engineering .

Posted 11/10/2026full-timeChicago • Illinois • United StatesSenior💰 $117,610 - $153,146 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Digital Fraud Detection Engineering, including the design and optimization of detection methodologies and the establishment of engineering standards. Proficient in Python and SQL, with a strong focus on AI-assisted analytics and collaboration with cross-functional teams.

Highest-signal resume keywords

Digital Fraud Detection EngineeringPython ProgrammingSQL ProficiencyAI-Assisted EngineeringCybersecurity Detection Engineering

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Fraud Detection MethodologiesData EngineeringBehavioral AnalyticsRisk-Scoring TechniquesDetection Lifecycle PracticesAPIs DevelopmentAutomated TestingMachine LearningData PipelinesAnomaly Detection

Soft Skills

Technical LeadershipMentoringCollaborationCommunication

Tools & Technologies

GitCI/CDSIEMSOARCloud Data PlatformsEvent StreamingKafka

Certifications & Qualifications

GIACCISSPCloud Engineering CertificationSecurity Engineering Certification

Industry Keywords

CybersecurityFraud EngineeringBehavioral BiometricsThreat-Informed DefenseMITRE ATT&CKFraud Decision EnginesReal-Time Risk Platforms

Tech Stack

Tools & technologies

CloudCyber SecurityKafkaPythonSQL

About the role

Key responsibilities & impact

Serve as the principal technical authority for Digital Fraud Detection Intelligence & Engineering
Establish the engineering strategy, standards and capabilities used to detect sophisticated fraud attacks across customer-facing channels
Own the Digital Fraud Detection Engineering technical roadmap
Establish engineering 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 CTI/fraud intelligence, adversary behaviors and attack patterns into detection hypotheses, production detections and proactive fraud threat-hunting activities
Establish testing, back-testing, validation and deployment practices
Monitor precision, recall, false-positive/negative rates, 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, automation and advanced correlation methods
Serve as senior technical liaison to Cyber Threat Detection Engineering, CIAM, Data Engineering, Security Architecture and Fraud Operations
Mentor technical resources and influence platform/data architecture

Requirements

What you’ll need

Bachelor's degree required, preferably in Computer Science, Cybersecurity, Information Systems, Data Engineering, Software Engineering, Mathematics, Statistics or a 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
Ability to use AI-assisted engineering and analytics tools responsibly while validating outputs and protecting sensitive data
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
Preferred: advanced technical degree in a relevant field
Preferred certifications: GIAC, CISSP, cloud/data engineering, security engineering or comparable technical certifications
Preferred experience with CIAM, device intelligence, behavioral biometrics, bot detection, graph analytics, anomaly detection, machine learning, generative AI, AI/ML model evaluation, explainability, monitoring and governance, SIEM/SOAR, cloud data platforms, event streaming/Kafka, 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 is preferred

Benefits

Comp & perks

Top-tier health and wellness benefits
Employee-run Business Resource Group communities
Parental leave
401(k)
Space-available travel privileges
Medical insurance
Dental insurance
Vision insurance
Life insurance
Accident and disability coverage
Employee assistance program
Commuter benefits
Paid holidays
Paid time off
Flight privileges
Bonus and/or long-term incentive compensation awards