POSITION RESPONSIBILITIES:

The US Stress Testing and Model Development team creates stress testing models for CIBC's US Region that combine quantitative expertise with deep understanding of US regional banking businesses, especially in commercial banking. In this role, you will play key roles in the development of wholesale credit risk stress testing models using statistical/econometric methods.

Key responsibilities include:

Development of credit risk stress testing and PPNR models using statistical/econometric methods
Testing, implementation and monitoring of stress test models in production environment
Support the execution, review and challenge of stress testing model
Perform other ad-hoc data analysis including business intelligence and reporting
Ability to extract complex data from large spreadsheets / other data hubs, understand it and then present it in a comprehensive fashion
Responsible to provide analysis and raising data issues /errors

QUALIFICATIONS:

Advanced degree in economics, statistics, quantitative finance, mathematical/physical sciences or other quantitative disciplines
Up to 5 years of work experience in quantitative modeling at a financial institution in PD/LGD/EAD modeling
Familiarity with US banking regulation/rules such as CCAR/DFAST/Basel preferred
Experience with model risk management (SR 11-7/OCC 2011-12) preferred
Knowledge of data and analytics tools such as as Python (Pandas, statsmodel,plotly etc.) SQL, Microsoft Azure
Proficiency in Microsoft Office products, especially MS Excel and MS PowerPoint
Strong oral and written communication skills
Problem solvers who are driven, self-motivated and creative

Quantitative Analyst