TD · 18 hours ago
AI Detection Engineering Information Security Specialist
TD Bank is one of the world's leading global financial institutions, and they are seeking an experienced Information Security Specialist to lead AI-driven detection engineering. This role focuses on designing, implementing, and operating machine learning-enhanced detections across SIEM/XDR ecosystems, while mentoring engineers and shaping the detection roadmap.
BankingFinanceFinancial ServicesWealth Management
Responsibilities
Design, build, and productionize ML/AI detections (e.g., anomaly detection, behavior models, graph analytics) for Microsoft Defender (MDI/MDE/MDO), Sentinel, Splunk, and related platforms; champion model quality, drift monitoring, and explain ability
Establish feature pipelines and training/evaluation frameworks (offline/online) that support rapid iteration and safe rollout through CI/CD and detection-as-code workflows
Author and maintain reusable content libraries (rules, models, enrichers) aligned to MITRE ATT&CK and enterprise risk models; drive consistency and reusability across domains
Own the end-to-end lifecycle for AI-enabled use cases: problem framing, data readiness, threat modeling, model selection, validation, deployment, tuning, and retirement; maintain auditable artifacts for governance
Integrate detections with XSOAR playbooks, enrichment services, and case management to enable automated triage/response where risk criteria are met
Map AI use cases and threat models to convert high-value scenarios into AI-assisted detections; ensure MDI/XDR ↔ XSOAR synchronization and playbook readiness
Contribute to the detection platform vision (content libraries, testing harness, BAS integration, governance dashboards) to scale coverage and reduce time-to-detect
Qualification
Preferred
7+ years in detection engineering, data science for security, proven delivery of production ML detections and MLOps pipelines
Deep expertise with SIEM/SOAR/XDR (e.g., Splunk, Sentinel, XSOAR, Microsoft Defender suite) and threat detection methodologies; hands-on with content engineering and model governance
Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow), PowerShell, and SQL/KQL; experience with feature engineering, cross-validation, A/B experiments, drift detection, and explainability
Familiarity with MITRE ATT&CK, kill-chain and threat modeling practices; ability to translate TTPs into signals, features, and labels
Demonstrated ability to work across technical and non-technical stakeholders; clear written/spoken communication; experience mentoring engineers and leading cross-functional initiatives
Benefits
Health and well-being benefits
Savings and retirement programs
Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
Banking benefits and discounts
Career development
Reward and recognition
Company
TD
The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD).
H1B Sponsorship
TD has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$65MKey Investors
U.S. Department of the Treasury
2023-10-03Grant· $65M
Leadership Team
Recent News
2026-01-24
2026-01-24
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