- Location
- Toronto
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Risk and AML/ATF Data, Analytics & Insight
- Seniority
- Entry
- Experience
- 7+ years
- Education
- Master
- Source
- Lever
Description
Join a Challenger
At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions.
We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.
What's kept us moving? The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.
If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity.
We can’t wait to get to know you!
The Associate Director, REM Modelling ("ADRM") is responsible for the development, enhancement, implementation, and ongoing monitoring of quantitative models supporting the Bank's Reverse Mortgage (REM) business. The role provides actuarial and analytical leadership across portfolio forecasting, risk quantification, capital assessment, stress testing, pricing analytics, and strategic business decision-making.
The incumbent will be a subject matter expert in reverse mortgage modelling, leveraging advanced actuarial, statistical, and predictive analytics techniques to assess portfolio performance and emerging risks. The role requires significant hands-on actuarial modelling experience, including the application of mortality, longevity, survival, and stochastic modelling techniques in a financial services environment. The role partners closely with the Reverse Mortgage business, Credit Risk, Finance, Treasury, Model Risk Management (MRM), and other stakeholders to support profitable growth, effective risk management, and regulatory compliance.
The Associate Director will be accountable for ensuring modelling methodologies are robust, well-documented, independently reviewable, and aligned with internal model governance standards.