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About the Role
The Advanced Analytics and AI team is the central hub of data science and AI expertise within CIBC, leading the application of predictive science, machine learning, and artificial intelligence. This role supports CIBC US Fraud by monitoring and reporting on the performance of existing fraud detection models, assessing model performance, identifying changes, and communicating findings to business partners.
Responsibilities
- Monitor model performance using statistical methods.
- Investigate changes in results and identify potential performance concerns.
- Prepare accurate, timely reporting to support business oversight.
- Use SQL and Python to access, prepare, and analyze data.
- Calculate performance measures and develop reusable code.
- Contribute to automated monitoring pipelines and the transition from SAS to Databricks.
- Apply understanding of the model lifecycle to interpret monitoring results.
- Partner with US Fraud partners to understand monitoring needs and explain findings.
- Collaborate with data scientists and technical leads to strengthen monitoring practices.
- Document processes and support team continuity.
- Bring curiosity, initiative, and a willingness to learn and test new approaches.
Requirements
- Demonstrated experience in SQL and Python for data querying, combination, preparation, and analysis with an emphasis on accuracy, readability, and repeatability.
- Strong foundation in statistics, understanding statistical concepts and their application to model performance evaluation.
- Familiarity with the model development lifecycle, including development, evaluation, deployment, and monitoring.
- Ability to investigate complex problems and make sense of information.
- Ability to communicate detailed information in a meaningful way.
- Ability to communicate clearly and explain technical concepts to different audiences.
- Ability to ask thoughtful questions and build effective relationships with business and technical partners.
- Legally eligible to work at the specified location(s).
- May be asked to complete an attribute-based assessment and other skills tests.
Skills
- Advanced Analytics
- Data Analysis
- Databricks Platform
- Data Science
- Machine Learning (ML)
- Model Development
- Model Monitoring
- Performance Modeling
- Predictive Modeling
- Python (Programming Language)
- Python Automation
- Statistics
- SQL
Location
- Toronto-81 Bay, 21st Floor
Work Type
- Hybrid
- Full-time
Education Level
- Degree/diploma in statistics, mathematics, computer science, engineering or related quantitative discipline, or equivalent practical experience.
Benefits
- Competitive salary
- Incentive pay
- Banking benefits
- Benefits program
- Defined benefit pension plan
- Employee share purchase plan
- Vacation offering
- Wellbeing support
- MomentMakers recognition program
- Purpose Day (paid day off for growth and development)
About the Company
- CIBC is building a relationship-oriented bank for the modern world.
- At CIBC, team members are empowered at work, with the resources to make a meaningful impact and are valued for who they are and what they contribute.
- CIBC enables the work environment most optimal for employees to thrive.
- CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong.
- CIBC seeks applicants with a wide range of abilities and provides an accessible candidate experience.
- CIBC is committed to clarity in the hiring process.
Equal Opportunity
- CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong.
- We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com.