Global Financial Crimes Model Validation Manager

2 days ago


Toronto, Ontario, Canada Royal Bank of Canada> Full time

Job Summary

Job Description

What is the Opportunity?

The Royal Bank of Canada is seeking a highly skilled Manager of Global Financial Crimes Model Validation to join our team. As a key member of our Global Financial Crimes team, you will play a critical role in ensuring the ongoing effectiveness of our Financial Crimes monitoring program. You will report to the Senior Manager of Financial Crime Model Validation and will be responsible for implementing and executing substantive financial crimes risk management practices relevant to models and related frameworks.

Key Responsibilities:

  • Validation of Sanction Screening models and ensuring model outputs comply with regulatory and business requirements
  • Proactively challenge financial crime models and methodologies
  • Detect and counteract emerging risks related to financial crimes and continuously assess RBC's risk exposure
  • Articulate the scope and approach of enterprise-wide model validation to RBC Management, External Regulators, and Internal Audit
  • Develop clear concepts, execute plans efficiently, and deliver organized results
  • Collaborate with FC Model Validation Senior Managers and Directors to make model-related decisions
  • Communicate inherent model risks and limitations effectively
  • Develop and challenge assumptions, conceptual soundness, model performance and process, and evaluate metrics during each validation and document results in validation reports
  • Contribute to research and development with risk-focused techniques
  • Demonstrate key competencies: Adaptability, Change Management, Teamwork & Collaboration, Problem Solving, and Planning

Requirements:

  • 3+ years of related Financial Crimes experience
  • Strong written and oral communication skills; business writing experience
  • Strong interpersonal and analytical skills
  • Good working knowledge of Microsoft suite and other data mining applications (Python, SAS, R, and SQL)
  • Knowledge of regulations related to Financial Crimes
  • Bachelor's degree in a relevant field (Finance, Data Science, etc.)

Preferred Skills:

  • Analytical Thinking
  • Communication
  • Data Analytics
  • Group Problem Solving
  • Model Validation


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