Senior Manager, Model Development

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 Work

 

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

• Develop, enhance, and monitor credit risk models and analytical solutions supporting AIRB, IFRS 9, ICAAP, stress testing, climate risk, and portfolio risk management activities.


• Perform quantitative analysis, model calibration, validation support, annual reviews, performance monitoring, and risk assessments to support business and regulatory requirements.


• Collaborate with Risk, Finance, Data, Technology, Audit, and Model Risk Management stakeholders to deliver high-quality analytical solutions and insights.


• Contribute to the development of a robust data infrastructure for model development and analytics.


• Regularly review data used in model development for required changes/improvements.


• Work with IT and business unit teams to implement and execute models and analyses in support of on-going financial disclosure, regulatory reporting, and ad hoc analyses.


• Prepare model documentation, technical reports, and supporting materials for management, validation, audit, and regulatory reviews.


• Leverage Artificial Intelligence, machine learning, and automation technologies to improve model development, risk monitoring, reporting, operational efficiency, and decision-making processes.


• Ensure model development and analytical activities comply with internal policies, governance standards, and regulatory requirements.

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.

What we offer [For full-time permanent roles]

 

Competitive discretionary bonus 

✨ Market leading RRSP match program

Medical, dental, vision, life, and disability benefits

Employee Share Purchase Plan

Maternity/Parental top-up while you care for your little one

Generous vacation policy and personal days 

Virtual events to connect with your fellow colleagues

Professional development and comprehensive Career Development program

A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience

 

The incumbent will be working hybrid and in office time will be spent working from EQ Bank’s additional office space located at 2200-25 Ontario Street, Toronto, ON .

Equity, Diversity & Inclusion

EQ is committed to building an inclusive, accessible environment where every employee feels valued, respected, and supported. We believe our organization is stronger — and our people thrive — when we honour and celebrate diverse experiences, identities, and perspectives. We’re equally committed to supporting your growth, both professionally and personally.

We provide a barrier‑free recruitment process and work environment. If you require accommodations at any stage, we will work with you to ensure you can bring your best self to the process and beyond.

As part of our recruitment process, EQ uses AI to help screen, assess, and/or select applicants for this position. All AI-enabled outputs are reviewed and validated by our talent team. All candidates considered for hire must successfully complete a criminal background check and credit check. While we appreciate every application, an EQ recruiter will contact only those whose skills and experience most closely match the requirements of the role.

EQB Inc. (TSX: EQB) is the parent company of Equitable Bank, the country's seventh-largest Schedule I bank by assets, which operates EQ Bank, Canada's Challenger Bank™. EQB Inc. serves nearly 4 million Canadians and manages approximately $150 billion in combined assets under management and administration. 

To learn more, visit eqb.investorroom.com and eqbank.ca .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.