About the Role
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.
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
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
- 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
Skills
- Anti-Money Laundering (AML)
- Business Perspective
- Communication
- Decision Making
- Financial Regulation
- Interpersonal Relationship Management
- Operational Integrity
- Organizational Governance
- Process Management
- Strategic Thinking
Location
- 20 KING ST W:TORONTO
- Toronto
- Canada
Work Type
- Full time
Experience Level
- Senior Manager
Education Level
- Bachelor’s degree in a relevant field (Finance, Data Science, Economics, Mathematics etc.)
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
About the Company
- At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC.
- We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world.
- Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities.
- RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
