Lead Data Scientist, Fraud Applied AI & Innovation

RBC
Full-time toronto, on Other-General
Posted:
June 04, 2026
Location:
toronto, on, Canada

Job Description

Overview

You will lead Fraud Management (FM) Machine Learning (ML) and Artificial Intelligence (AI) advancements, manage and mentor a team of senior data scientists, develop strategy for predictive fraud detection ML models and explore ML/AI technique application. You will set standards for ML model development, ensuring consistency, accuracy and repeatability, collaborate with partners and work with Fraud Strategy, Fraud IT and Enterprise Model Risk Management (EMRM) on emerging fraud risks, solution design and model validation frameworks. As a people leader, you will be responsible for the professional development, performance management, and career growth of your team members. You will fully comprehend the technical architecture supporting the Fraud decisioning ecosystem and how it supports DSA detection requirements. As a Subject Matter Expert (SME) on FM initiatives, you will collaborate with stakeholders at varying levels of seniority.

What will you do?

Apply for this Job

Submit your application for the Lead Data Scientist, Fraud Applied AI & Innovation position at RBC.

Apply Now Save for Later

Job Overview

Job Type: Full-time
Location: toronto, Canada
Posted: June 04, 2026
Deadline: July 14, 2026