Senior Flood Modeler at Tokio Marine HCC utilizing technical expertise in catastrophe risk modeling. Joining a bright team to lead research and development in risk modeling and analytics.
TD
Hybrid Senior Manager, Insider Risk Detection Strategy – Modeling Oversight
Posted 5 months ago
About the role
- Senior Manager providing insider risk detection oversight for a leading financial institution. Ensures rigorous monitoring and challenge of detection capabilities across IT, cybersecurity, and HR controls.
Responsibilities
- 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.
- This role 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+ year of relevant experience; higher degree education and research tenure can be counted
- Master's degree or relevant professional certifications (e.g., CFE, CISM, CISSP, CRISC, or equivalent) strongly preferred
- Experience in fraud risk management, insider threat, cybersecurity, internal audit, or investigations within financial services; demonstrated expertise in overseeing internal-fraud / insider threat detection strategies and analytics strongly preferred
- Deep knowledge of internal-fraud typologies and controls, including privileged access, toxic combinations, segregation of duties, dual controls, and exception monitoring, along with proficiency in monitoring technologies such as UBA/UEBA, DLP, SIEM, and workflow analytics
- Proven ability to design and oversee internal-fraud detection rules and models, including performance monitoring, back-testing, and change governance; familiarity with AI/ML applications and related governance expectations.
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
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