We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.
At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.
To learn more about CIBC, please visit CIBC.com
What you'll be doing
As a Senior Consultant, Quantitative Risk Modeling in CIBC’s Client Credit Risk Analytics group, you’ll play a pivotal role in developing statistical and machine learning models and AI solutions that drive credit risk strategies for retail lending products. You’ll lead end-to-end optimization and strategy projects, collaborating with risk partners to optimize the risk/revenue tradeoff and enhance the client experience. Your expertise in modeling, data analysis, and governance will support the creation of robust models that predict key client performance metrics such as losses, delinquencies, balances, and revenues. You’ll communicate complex model results to both specialist and non-specialist audiences, maintain rigorous model governance standards, and ensure all work aligns with CIBC’s compliance policies. This role offers the opportunity to make a direct impact on CIBC’s risk management and business performance through innovative modeling and strategic insight.
At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.
How you'll succeed
- Model Development & Optimization – Lead the planning, development, verification, and testing of statistical and machine learning models for credit risk strategies, ensuring models meet statistical standards and business objectives.
- Databricks Process & Model Flow – Architect, implement, and optimize end-to-end model development workflows in Databricks, ensuring seamless integration, reproducibility, and scalability of AI/ML models.
- Strategy Implementation – Create complex strategies for production and implementation using tools such as FICO Decision Optimizer, Python, Databricks, and SAS.
- Communication & Stakeholder Engagement – Present model results to both technical and non-technical audiences, translating technical findings into actionable business insights.
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- Governance & Compliance – Write model validation documentation, maintain replicable codes, and monitor model performance in alignment with model governance standards.
- Cross-Functional Collaboration – Work closely with Risk Analytics, Credit Decisioning, Model Validation, and other teams to support strategy development and vetting processes.
Who you are
- You have advanced analytics and AI experience. You hold a Master’s degree or PhD in a quantitative field such as analytics, statistics, mathematics, computer science, or a related discipline. You bring over 3 years of progressive experience in data analytics and machine learning, with a strong background in retail credit risk management, ideally within the banking industry.
- You’re an expert in agentic AI and machine learning. You have hands-on experience developing, deploying, and monitoring agentic AI systems, and you’ve built and managed complex machine learning models for real-world applications, preferably in financial services.
- You have technical mastery in Python and Databricks. You’re highly skilled in Python and have extensive experience with Databricks, including managing end-to-end process and model flows. You’re comfortable with large-scale data processing, model orchestration, and applying MLOps best practices.
- You have an ownership mindset. You’re results-driven, take initiative, and demonstrate a strong sense of ownership in your work. You’re motivated to achieve goals and deliver impactful outcomes.
- Values matter to you. You bring your authentic self to work and live our values—trust, teamwork, and accountability.
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What CIBC Offers
At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.
- We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
- Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
- We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
*Subject to plan and program terms and conditions
What you need to know
- 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
- CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
- You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
- We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
- We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.
Job Location Toronto-81 Bay, 31st Floor
Employment Type Regular
Weekly Hours 37.5
Skills
Analytical Thinking, Credit Risks, Decision Making, Group Problem Solving, Model Analysis, Regulatory Requirements, Risk Models, Risk Monitoring, Risk Quantification
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