EQB Inc.
From EQB Inc.'s careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
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.
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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