Oversee credit risk across loan portfolios by shaping and challenging policies, monitoring portfolio trends, supporting governance and board reporting, and assessing new products against the Bank’s risk appetite.
Senior Manager, Model Development
📜 Description
- Develop, enhance, implement, and monitor credit risk models and analytics for AIRB, IFRS 9, ICAAP, stress testing, climate risk, and portfolio risk management.
- Conduct quantitative analysis, model calibration, validation support, annual reviews, performance monitoring, and risk assessments.
- Partner with Risk, Finance, Data, Technology, Audit, and Model Risk Management teams to deliver analytical solutions and insights.
- Support model data infrastructure and review development data for needed improvements.
- Implement models and analyses for financial disclosures, regulatory reporting, and ad hoc requests.
- Prepare model documentation and technical materials for management, validation, audit, and regulatory reviews; apply AI, machine learning, and automation to improve risk processes.
🛠️ Requirements
- Master's degree or higher in Statistics, Mathematics, Economics, Finance, Engineering, Data Science, Computer Science, or a related quantitative field.
- 2+ years of experience in credit risk model development, model validation, quantitative analytics, or related areas within financial services.
- Strong knowledge of AIRB, IFRS 9, stress testing, ICAAP, or similar risk management frameworks.
- Advanced programming skills in Python and SQL.
- Experience with statistical modeling, machine learning, and data science techniques.
- Familiarity with Generative AI, AI-assisted analytics, or process automation technologies is strongly preferred.
- Strong technical documentation, presentation, and communication skills.
- Ability to independently manage complex analytical initiatives and deliver high-quality results with minimal supervision.
✨ Benefits
- Competitive discretionary bonus
- RRSP match program
- Medical benefits
- Dental benefits
- Vision benefits
- Life and disability benefits
- Employee Share Purchase Plan
- Maternity/parental top-up
- Vacation and personal days
- Professional development
Full job 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 Senior Manager, Risk Analytics, Models & Insights is a senior individual contributor responsible for the development, enhancement, implementation, monitoring, and governance of enterprise credit risk models and analytics solutions. The incumbent will support the development and maintenance of AIRB and IFRS 9 models, deliver risk insights to senior management, and ensure compliance with internal governance and regulatory requirements.
The incumbent will lead complex analytical initiatives, drive methodological enhancements, support regulatory and audit activities, and champion the adoption of advanced analytics, automation, and Artificial Intelligence (AI) to improve efficiency, insight generation, and risk management practices across the Bank.
Core Responsibilities
Let's Talk About You
- Master's degree or higher in Statistics, Mathematics, Economics, Finance, Engineering, Data Science, Computer Science, or a related quantitative field.
- 2+ years of experience in credit risk model development, model validation, quantitative analytics, or related areas within financial services.
- Strong knowledge of AIRB, IFRS 9, stress testing, ICAAP, or similar risk management frameworks.
- Advanced programming skills in Python and SQL.
- Experience with statistical modeling, machine learning, and data science techniques.
- Familiarity with Generative AI, AI-assisted analytics, or process automation technologies is strongly preferred.
- Strong technical documentation, presentation, and communication skills.
- Ability to independently manage complex analytical initiatives and deliver high-quality results with minimal supervision.
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