Senior Data Scientist, Fraud Applied AI and Innovation

RBC; Toronto; On-site; CAD 85,000 - 120,000; Full time

Job summary

RBC in Toronto is seeking a data science professional to apply machine learning, AI and advanced analytics to Fraud Management. You will develop predictive models for fraud detection and design automated workflows to replace manual processes.

You will partner with cross-functional teams, monitor model performance, and translate complex findings for technical and non-technical audiences. This role offers growth opportunities within a leading Canadian bank.

Qualifications

• 2+ years of experience in machine learning, data mining, and statistics applied to fraud detection or risk analytics.
• Strong ability to analyze large datasets and present actionable insights to diverse stakeholders.
• Proficiency in Python, SQL, and ML frameworks.
• Experience with big data platforms and Git.
• Excellent communication skills with the ability to translate analytics to both technical and non-technical audiences.
• Strong time management and ability to manage multiple projects.
• Degree in a quantitative discipline with strong problem-solving skills.

Responsibilities

• Develop and deploy machine learning models for real-time and batch fraud detection.
• Contribute to the ML strategy and integrate models into the detection ecosystem.
• Collaborate with Detection Analytics and Governance teams to communicate changes.
• Design and implement automated data pipelines to replace manual fraud review processes.
• Identify opportunities to replace or enhance processes using available technology and tools.
• Provide thought leadership on data analytics to support fraud management priorities.
• Conduct deep data exploration ensuring data quality and governance.

Skills

Python

SQL

ML frameworks

Machine learning

Data mining

Statistics

Communication

Time management

Data analysis

Education

Bachelor’s degree in a quantitative discipline

Tools

Git

Big data platforms

Job description

Job Description

What’s the opportunity?

You will apply machine learning, artificial intelligence and advanced analytical methodologies to support Fraud Management’s key priorities. Your work will focus on developing predictive models for improving fraud detection capabilities, optimizing existing productivity tools, creating automated workflows to replace manual processes, designing forward thinking and innovative solutions to complex problems, etc.

You will represent the Applied AI & Innovation team as a Subject Matter Expert (SME) on projects and initiatives across Credit & Fraud Management (CFM) and collaborate with multiple stakeholders at varying levels of seniority. You will also assist in developing best practices for analytical processes.

What will you do?

• Develop and deploy machine learning models for real-time and batch fraud detection following all model development standards
• Contribute to the ML strategy for Credit & Fraud Management, integrate models into the detection ecosystem, and continuously monitor and optimize model performance
• Partner with Detection Analytics and Governance teams to incorporate feedback and communicate changes that impact fraud detection workflows
• Design and implement automated data pipelines to replace manual fraud review processes, leveraging modern ML frameworks
• Identify opportunities and develop automated pipelines to replace or enhance existing processes, utilizing the full suite of available technology and tools to build the most effective solution
• Provide thought leadership on data analytics and machine learning to support fraud management priorities and deliver strategic initiatives
• Conduct deep data exploration ensuring data quality and governance

What you need to succeed

Must have:

• 2+ years of experience in machine learning, data mining, and statistics, ideally applied to fraud detection or risk analytics
• Strong ability to analyze large datasets and present actionable insights to diverse stakeholders
• Proficiency in Python, SQL, and ML frameworks.
• Experience with big data platforms and version control systems (Git)
• Excellent communication skills with the ability to translate complex analytical findings to both technical and non-technical audiences
• Strong time management skills and ability to manage multiple projects simultaneously
• Degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering, or related field) with strong problem-solving skills

Nice to have:

• Knowledge of Canadian banking and payment industry, payments transaction data and financial fraud
• Experience with containerization and orchestration platforms (Docker, Kubernetes, OpenShift)
• Prior experience in fraud detection data analytics
• Experience with model explainability tools and fairness/bias testing in models

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), Predictive Analytics, Python (Programming Language), Version Control

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: 2026-09-28

Application Deadline: 2026-10-12

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.