Lead Data Scientist, Fraud AI Model Governance
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Job Description
Job Description
What is the opportunity?
As a Lead Data Scientist on the Fraud AI Model Governance team, you will oversee the AI Model Governance program for Fraud Data Science and AI (Fraud DSA). You will collaborate with model developers within Fraud DSA and external vendors to deliver high-quality model risk governance documentation and model performance monitoring for Artificial Intelligence (AI) and Machine Learning (ML) models used by Fraud Management. You will also provide model development oversight for Fraud DSA to ensure compliance with RBC’s Enterprise Model Risk Operating Standards.
What will you do?
- 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.
What do you need to succeed?
Must-have
- 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.
Nice-to-have
- Graduate degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics).
- Direct experience in Fraud Data Science.
- Experience working with transactional data.
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- 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
Job Skills
Big Data Management, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)
Additional Job Details
Address:
YORK MILLS CENTRE, 36 YORK MILLS RD:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
PERSONAL & COMMERCIAL BANKING
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-04-07
Application Deadline:
2026-04-17
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
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.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
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