Senior Manager - Financial Crimes Model Validation

RBC•Halifax, NS

5d•Onsite

About The Position

As the Senior Manager of Global Financial Crimes Model Validation, you will lead a team of experts in validating and optimizing our FC models. Your deep understanding of FC processes, regulatory expectations, and industry trends will drive our success in safeguarding against financial crimes.

Requirements

5+ years in machine learning model development, validation, or financial crimes risk management
Proven experience managing teams or leading complex projects in a regulated environment
Bachelor’s degree in a relevant field (Finance, Data Science, Economics, Mathematics etc.)
Proficiency in statistical analysis and data manipulation (Python, R, SQL, or SAS)
Strong knowledge of machine learning algorithms and their applications in financial crimes detection
Familiarity with Enterprise Risk Management governance structures
Excellent communication skills and ability to work collaboratively.

Responsibilities

Lead and mentor a team of model validation specialists, fostering a culture of rigorous challenge and continuous improvement
Establish and oversee the FC model validation program, ensuring alignment with Enterprise Risk Management (ERM) policies, regulatory requirements, and industry best practices
Act as a trusted advisor and effective challenger to FC model developers and business users, balancing risk governance with business enablement
Drive strategic initiatives to enhance model validation methodologies and automation frameworks
Validate financial crimes models—both machine learning and heuristic-based—to assess output quality, alert effectiveness, and risk mitigation capabilities
Conduct rigorous testing of sanctions screening and AML detection models to ensure they effectively identify critical financial crimes risks
Provide comprehensive model risk assessments and challenge recommendations to senior leadership and governance committees
Manage the Enterprise Model Risk Management (EMRM) inventory system, maintaining robust change management procedures and documentation
Provide actionable, data-driven recommendations based on model assessments, contributing to continuous enhancement of FC detection capabilities
Facilitate remediation of open model risk issues in accordance with regulatory expectations
Manage metrics, reporting, and dashboard development to track model performance, validation status, and program health
Leverage internal and external data sources to deliver accurate, insightful analysis and maintain situational awareness
Collaborate with peers, industry experts, and the Enterprise Model Risk Management team to identify emerging validation themes and trends
Stay abreast of evolving financial crimes typologies, regulatory expectations, and advances in model validation best practices
Champion adoption of innovative validation techniques and technologies across the FC program