Lead Data Scientist, Fraud AI Model Governance
Royal Bank of Canada Voir toutes les offres
- Toronto, ON
- Permanent
- Temps-plein
- Develop and maintain model performance monitoring for all Fraud models.
- Create Model Performance Tracking (MPT) metrics for all fraud models, set alert thresholds, and identify/escalate performance issues.
- Collaborate with Fraud DSA model development teams to deliver and maintain audit- and regulatory-compliant governance documentation.
- Coordinate with Enterprise Model Risk partners and Fraud model developers to ensure timely completion of governance responsibilities (e.g., Quarterly MPT, Annual Assessments, Issue Closure Memos).
- Provide Model Development Oversight for Fraud DSA, ensuring adherence to RBC Enterprise Model Risk Operating Standards.
- Coordinate Fraud DSA's responses to regulatory and audit inquiries related to model risk.
- Collaborate with Fraud model developers to perform supplemental model testing.
- Develop and implement best practices for leveraging Large Language Models (LLMs) to streamline fraud model governance activities.
- 5+ years' experience in advanced analytics, data science, or AI-related roles, working with large, real-world datasets.
- Experience with AI/ML model risk governance documentation.
- Proficiency in Python and Spark, and experience creating data visualizations tools like Tableau or similar.
- Strong data analytics expertise, including familiarity with enterprise technologies (e.g., big data, cloud platforms).
- Professional oral/written communication skills, including technical documentation.
- Proven collaboration skills with the ability to navigate ambiguity.
- Strong organization and time management skills to balance multiple deliverables with fixed deadlines.
- Graduate degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics).
- Direct experience in Fraud Data Science.
- Experience working with transactional data.
- A comprehensive Total Rewards Program
- Leaders who support your development
- Ability to make a difference and lasting impact
- Opportunity to take on progressively greater accountabilities