About The Position

The Senior Manager, Insider Risk Detection Oversight, is a senior individual contributor in the first line of defense, accountable for the governance, effectiveness oversight, and program management of insider risk detection controls, including internal fraud against the firm and customers. The role ensures insider detections are analytically sound, well-governed, and operating within risk appetite, while coordinating end-to-end execution across analytics, investigations, technology, HR, Legal, and Compliance. While oversight and control stewardship are the primary focus, the role selectively engages in hands-on data analysis and rule or model development to guide quality, consistency, and coverage for complex or emerging insider threat scenarios. Depth & Scope: Works autonomously on high profile, complex and/or high risk technology projects with significant impact to the organization Provides technical leadership / consulting / direction to a larger team / portfolio on all aspects of technology controls / information security Foresees issues / gaps and identifies emerging industry trends (i.e. future focused) Provides recommendations on value-added improvements / enhancements Top technical expert individual contributor with expert knowledge of IT security and risk disciplines and practices Advanced and highly specialized knowledge of organization, technology controls / security/ risk issues Provides recommendations on value-added improvements / enhancements

Requirements

  • Bachelor's degree preferred
  • Information security certification / accreditation an asset
  • 10+ years of relevant experience

Nice To Haves

  • 10+ years of experience in insider risk, financial crimes, fraud, or analytics-driven risk detection programs within a regulated environment.
  • Strong data and analytics fluency, including experience with data mining, feature analysis, and exploratory analysis across transactional, behavioral, and access-based datasets.
  • Working knowledge of detection methodologies, including rules-based logic, statistical techniques, anomaly detection, and supervised or unsupervised modeling approaches.
  • Demonstrated ability to oversee detection programs end-to-end, including prioritization, change management, issue tracking, metric definition, and senior-management reporting.
  • Proficiency with analytics tools; familiarity with Python, data visualization, or graph/network analysis is preferred.
  • Solid understanding of data governance, model risk concepts, and responsible use of employee and consumer data.
  • Ability to operate independently as a senior IC, balancing analytical depth, program discipline, and cross-functional coordination.

Benefits

  • Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as 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, and reward and recognition.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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