Consultant, Quantitative Risk Modelling
CIBC — Toronto, ON
Posted 2026-08-31
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 The Optimization Model Development team is responsible for the design and development of data-driven credit risk management strategies for all stages of the credit life cycle. Reporting to the Senior Director, the Quantitative Consultant will be tasked with developing advanced statistical models that evaluate credit risk across a variety of retail credit portfolios including credit cards, personal loans and lines of credit, residential mortgages, small business loans, and collections. This requires expertise in statistical software such as SAS Enterprise Guide, SAS Enterprise Miner, R or Python to develop various predictive and inference models and conduct supplemental statistical analyses. The successful candidate will also write technical