Job DescriptionWhat'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 succeedMust 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 SkillsBig Data Management, Data Science, Decision Making, Machine Learning (ML), Predictive Analytics, Python (Programming Language), Version Control
Additional Job DetailsAddress: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:2026-08-13
Application Deadline:2026-08-28
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
