Specialist Fraud Prevention - Analytics and Identity - CIAM
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The Specialist, Fraud Prevention - Analytics & Identity (CIAM) is the fraud team's subject-matter expert on customer identity and account security, protecting Air C
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anada's revenue, loyalty currency and customer accounts. The incumbent turns large, complex and often incomplete data into detection, automations and reporting that address account takeover, credential abuse, loyalty and payment fraud, and emerging AI-enabled schemes, while minimizing customer friction. As the fraud and risk owner for customer identity initiatives, the incumbent defines requirements and validates the solutions delivered by technical teams and vendors.
Responsibilities:
• Data foundations: Build, optimize and maintain complex SQL queries and reusable data models in Snowflake across large, multi-source datasets that are often incomplete or inconsistent, and ensure the identity signals fraud detection relies on are captured and reliable.
• Fraud analytics: Apply anomaly detection, segmentation, network analysis and behavioural profiling to expose fraud rings and emerging schemes, and provide rapid impact assessments and root-cause analysis during active incidents.
• Automation: Design, build and run automations and dataflows (Power Automate, Python, PowerShell, scheduled jobs) that replace manual detection, case triage, bulk account actions and recurring reporting.
• Reporting: Build dashboards and reporting in Power BI and Excel, and communicate findings and control performance to stakeholders and senior leadership in language suited to the audience.
• Identity expertise: Act as the fraud team's go-to expert on the customer identity ecosystem (registration and login, MFA, passwordless, SSO and federation, sessions, profile and consent data) and how it creates or closes fraud risk.
• Identity initiatives: Own the fraud and risk requirements for identity initiatives, platform changes and profile migrations, and validate what technical teams and vendors deliver through UAT, QA and data-integrity checks.
• Account security: Support actions to secure customer accounts, including bulk lockdowns, forced credential resets and profile remediation, and help mitigate credential stuffing, bot and enumeration attacks.
• Payments & partners: Link payment and transaction data with account and identity signals to support payment fraud prevention, and assess the identity and data-sharing risk of loyalty, commercial and payment partners, including new onboardings.
• Rules & strategy: Measure fraud rule performance, false positives/negatives and customer friction, and recommend data-driven tuning.
• AI threats & tools: Monitor AI-enabled threats (synthetic identities, deepfakes and voice cloning, automated account creation, agentic bots) and recommend controls; use AI tooling to accelerate analysis, validating all outputs before they inform decisions.
• Stakeholders & vendors: Work with Digital, IT Security, Loyalty, Payments, Contact Centre and Legal/Privacy to align controls with business goals, and manage vendors on investigations, escalations, defects, roadmaps and service levels.
• Roadmap: Maintain a forward view of fraud and identity enhancements and contribute to the roadmap, business cases and RFP/RFQ evaluations with Strategic Procurement.
• Privacy & documentation: Handle customer, payment and identity data in line with privacy and consent requirements, and keep documentation, runbooks and detection logic current so the work is repeatable.
Qualifications
Required
• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics or a related quantitative field, or equivalent experience.
• Minimum 5 years of experience in fraud prevention, risk or data analytics, including hands-on work with patterns such