Canada Guaranty is currently seeking a Senior Quantitative Risk Analyst to join our team in Toronto on a 15-month
Reporting to the Director, Credit Risk, Stress Testing and Property Analytics, the ideal candidate will be responsible for
independently conducting quantitative analytics in support of the firm's risk management efforts. The successful
candidate will be responsible for developing and reporting on portfolio performance, preparing and reporting on
analyses, communicating results and findings, supporting customer relationships and ad-hoc analyses.
At Canada Guaranty, our performance-driven culture is built on successful teamwork. If you are a proven team player
with a track record of strong performance, we want to hear from you!
Create and maintain production reports on key metrics for lending partners and regulators.
Dive into large amounts of fraud data and extract information, gain insight and create predictive variables to
help track fraud prevention.
Develop regular and ad-hoc analyses to monitor and analyze the performance of the adjudication model and
Identify opportunities to enhance the adjudication strategy through data-driven analytics.
Effectively communicate findings and insights to Executives and senior management in a concise and easy-to-
Extensive experience using and developing quantitative models with SAS and SQL is a must; experience with
Python, R, or other software are considered an asset.
Experience extracting, preparing, and analyzing large data sets.
Practical statistical experience in an academic or business setting.
Excellent programming skills.
Experience with GIS software considered an asset.
Sr. Quantitative Risk Analyst, Risk Management Analytics (15-Month Contract) – Toronto, ON | 1
Experience developing and presenting analytics in Excel.
Ability to synthesize large amounts of data and draw insights and recommendations.
Strong analytical skills, including previous exposure to quantitative analysis, programming and reporting.
Good data management skills.
Ability to work both independently and in teams.
Demonstrated ability to work efficiently and accurately.
Strong problem-solving skills.
Effective communication skills with ability to present to an Executive level audience.
Must have a quantitative degree in applied mathematics, statistics, economics, finance, operations research or
engineering. Having an advanced graduate quantitative degree is preferred.
Minimum two-year working experience in predictive / consumer / financial modeling, quantitative analysis,