About The Position

As a member of the Bank's second line of defense, the Senior Manager, Insider Risk Detection Strategy & Modeling Oversight provides oversight, monitoring, and challenge of the insider risk detection capabilities taking into consideration an understanding of IT, cybersecurity, and HR controls. This role delivers credible challenge on rules, models, processes, analytics, and other advanced tools. It provides oversight, monitoring and credible challenge to first line insider risk analytics & detection strategies, rules, models, and change activity. This position performs and oversees risk reviews and credible challenge of insider risk detection models such as user behavior analytics (UBA/UEBA), anomaly detection, and entitlement analytics. It also challenges the design and operation of rule logic, including toxic combinations, exception thresholds, and dual-control triggers. This is a highly technical role that provides oversight, monitoring and challenge on the orchestration, architecture, data governance, and workflow development supporting insider risk detection. The Senior Manager evaluates how monitoring tools and platforms, including SIEM/UBA solutions, data loss prevention systems, and workflow/case management applications, are designed, integrated, and optimized, ensuring both technical efficacy and control sustainability.

Requirements

  • Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science).
  • Graduate's degree preferred with either progressive project work experience, or; 7+ years of relevant experience.
  • 10+ years of experience in fraud risk management, insider threat, cybersecurity, internal audit, or investigations within financial services.
  • Deep knowledge of internal-fraud typologies and controls, including privileged access, toxic combinations, segregation of duties, dual controls, and exception monitoring.
  • Proven ability to design and oversee internal-fraud detection rules and models, including performance monitoring, back-testing, and change governance.

Nice To Haves

  • Master's degree or relevant professional certifications (e.g., CFE, CISM, CISSP, CRISC, or equivalent) strongly preferred.
  • Familiarity with AI/ML applications and related governance expectations.
  • Strong cross-functional collaboration and influence across HR, Cybersecurity, and Audit functions.

Responsibilities

  • Accountable for significant advanced analytics and/or modelling function or area that typically has enterprise-wide impact or accountability.
  • Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes.
  • Typically deals with senior/executive management.
  • Focuses on longer-range planning for functional area (e.g. 12 months or greater).
  • May manage and prioritize multiple projects at a given time.

Benefits

  • Base salary and variable compensation/incentive awards.
  • 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 programs.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Master's degree

Number of Employees

5,001-10,000 employees

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