Lead Data Scientist, Fraud AI Model Governance

RBC; Toronto; On-site; CAD 125,000 - 150,000; Full time

Job summary

A leading bank in Canada is seeking a Lead Data Scientist to oversee the AI Model Governance program for Fraud Data Science and AI. You will lead the Fraud AI Model Governance team, ensuring compliance with enterprise standards and delivering high-quality model governance documentation. This role requires strong expertise in advanced analytics, excellent communication skills, and experience with data visualization tools like Tableau. The position offers an opportunity to make a significant impact within the organization.

Benefits

Comprehensive Total Rewards Program

Leaders who support your development

Opportunity for lasting impact

Chance to take on greater accountabilities

Qualifications

• 5+ years’ experience in advanced analytics, data science or AI related roles.
• Experience with AI model risk governance documentation.
• Strong data analytics knowledge with an understanding of big data and cloud platforms.
• Professional oral and written communication skills.
• Proven collaboration and partnership skills.
• Strong organization and time management skills.
• Experience creating data visualizations with Tableau or similar tools.
• Experienced in using Python and Spark.

Responsibilities

• Lead the Fraud AI Model Governance team in model performance monitoring.
• Create metrics, set alert thresholds, and identify model performance issues.
• Deliver and maintain model governance documentation.
• Coordinate with partners to ensure model governance responsibilities are completed.
• Provide oversight for Fraud DSA to ensure compliance with standards.
• Collaborate with developers to perform supplemental testing.

Skills

Big Data Management

Data Science

Decision Making

Machine Learning (ML)

Natural Language Processing (NLP)

Predictive Analytics

Python (Programming Language)

Education

Graduate Degree in a Quantitative Discipline

Tools

Tableau

Python

Spark

Job description

Job Description

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 and Machine Learning models used by Fraud Management. You will also provide model development oversight for Fraud DSA to ensure model developers are complying with RBC Enterprise Model Risk Operating Standards.

What will you do?

• Lead the Fraud AI Model Governance team in developing and maintaining model performance monitoring for all Fraud models.
• Create appropriate metrics, set alert thresholds, identify and escalate model performance issues.
• As the leader of the centre of excellence for fraud ai model governance, collaborate with Model Development teams in Fraud DSA to deliver and maintain high quality model governance documentation that meets audit and regulatory expectations.
• Coordinate with Enterprise Model Risk partners and Fraud model developers to ensure model governance responsibilities are completed on time: Quarterly Model Performance Tracking, Annual Assessments, Issue closure memos etc.
• Provide Model Development Oversight for Fraud DSA. Ensure Fraud model developers are complying with RBC Enterprise Model Risk Operating Standards. Coordinate Fraud DSA’s responses to regulator and audit questions related to model risk.
• Collaborate with Fraud model developers to perform supplemental testing on Fraud models.

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 model risk governance documentation.
• Strong data analytics knowledge and expertise, with an understanding of common enterprise technologies and approaches including big data and cloud platforms.
• Professional oral and written communication skills, including ability to prepare technical documentation.
• Proven collaboration and partnership skills with the ability to navigate through ambiguity.
• Strong organization and time management skills and the ability to balance multiple deliverables with fixed due dates.
• Experience creating data visualizations with Tableau or similar tools.
• Experienced in using Python and Spark.

Nice-to-have

• Graduate Degree in a Quantitative Discipline.
• Fraud Data Science experience.
• Knowledge of Canadian Banking and payment industry.
• 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: 2025-12-15

Application Deadline: 2026-01-09

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.

Inclusion and Equal Opportunity Employment

At 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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