Who We Are
Canada Guaranty is a privately held Canadian mortgage insurer, established in 2010 following the acquisition of AIG United Guaranty Mortgage Insurance Company Canada by the Ontario Teachers’ Pension Plan and National Mortgage Guaranty Holdings Inc.
As a proudly Canadian company, we are committed to service excellence and helping Canadians achieve successful, long-term homeownership. Our mortgage solutions help protect lenders and investors from losses related to borrower default and foreclosure while ensuring Canadians are provided with greater access to affordable and sustainable homeownership.
Canada Guaranty’s performance-driven culture thrives on accountability, collaboration, and supportive teamwork. If you’re a dedicated team player with a strong track record of excellence, we can’t wait to hear from you!
About The Opportunity
Reporting to VP, Risk Modelling, Analytics and Reporting, the ideal candidate will develop, maintain, and help implement effective quantitative models and analytics that will help guide prudent growth for Canada Guaranty’s mortgage insurance portfolio.
Responsible for developing, championing, and maintaining credit scoring, underwriting and portfolio management credit risk, fraud, stress testing, and loss management/collections models.
In This Role, You Will
- Develop and maintain an industry leading adjudication model to support the risk adjudication strategy.
- Build and maintain IFRS 17, capital, and stress testing models to support the actuary team.
- Evaluate credit bureau scores and attributes, other internal and external credit-related data sources, and identify opportunities to enhance the adjudication model and strategy, and internal management.
- Effectively communicate findings and insights to Executives and senior management in a concise and easy-to-understand way.
- Execute special projects and perform other duties as required.
Essential Qualifications
- Graduate degree in a quantitative discipline i.e. applied mathematics, statistics, economics, finance, operations research or engineering.
- 4+ year risk management experience in banking or insurance industries.
- 2+ year working experience in predictive/consumer/financial modelling.
- Extensive experience using and developing quantitative models with SAS and SQL is a must, experience with Python, R, or other similar software considered a plus.
- Proven track record extracting, preparing, and analyzing large data sets in an academic or business setting.
- Ability to work effectively both independently and within collaborative teams.
- Demonstrated ability to deliver high-quality work accurately under deadlines.
- Advanced problem-solving skills and strong business acumen, with effective communication skills and comfort presenting to an Executive audience.
Preferred Qualifications
- PhD degree in a quantitative discipline.
- Previous experience with credit bureau scores and attributes strongly preferred.
- Previous experience with fraud management and/or model development.
- Experience in AI and machine learning.
What We Offer You
Canada Guaranty is proudly recognized by the Great Place to Work® Institute as one of the Best Workplaces™ in Canada – 100-999 Employees (2025, 2026). We are also honoured to be recognized as among the Best Workplaces™ in Financial Services & Insurance (2024, 2025, 2026), Best Workplaces™ in Ontario (2024, 2025), Best Workplaces™ for Mental Wellness (2025, 2026), Best Workplaces™ for Inclusion (2025, 2026), Best Workplaces™ for Women (2025, 2026), and Best Workplaces™ with the Most Trusted Executive Teams (2025, 2026). Join us and see why!
We offer a comprehensive total rewards package, including competitive compensation, company-matched retirement programs, health and dental coverage, flexible work options, and a friendly, inclusive, and supportive culture.
The salary range for this position ranges from $100,000 to $130,000. Offers are determined by a variety of factors, including job-related knowledge, skills, and experience, along with internal equity.
Accommodation Notice
Canada Guaranty is committed to fostering an equitable, accessible environment where all employees feel valued and supported. We are committed to building a workforce that is representative of the communities we serve and work alongside. Candidates may request accommodation at any point during the interview process.
We may leverage AI tools to assist us through our recruitment process. This posting is for an existing vacancy.
