We9re looking for a Senior Analyst, Risk Modelling and Analytics to join our Risk team.

This position represents a newly established role within our organization, created to support our evolving business needs and strategic direction. We are seeking candidates who can bring fresh perspectives and contribute to the growth of our business.

Job Summary:

As a Senior Analyst, Risk Modelling & Analytics, you will play a key role in supporting enterprise-wide risk oversight across model risk, interest rate risk (IRRBB), and liquidity risk. You will also perform various ad hoc analyses with Credit Risk, Enterprise Risk, and CRO. Working closely with the Director, Risk Modelling & Analytics and collaborating with Treasury, Finance, and Enterprise Risk teams, you will contribute to model validation, stress testing, regulatory reporting, and risk analytics that inform executive and Board-level decision-making.

Responsibilities:

Support the second line oversight activities of Treasury functions, which include:

• Review and validations of Treasury models (e.g., ALM, liquidity stress testing, funding plan, and hedging models)
• Assist in maintaining and enhancing IRRBB and liquidity risk management frameworks, policies, and risk appetite monitoring
• Partner with Treasury to provide oversight and challenge on liquidity management, hedging strategies, securitization, and funding programs
• Support Contingency Funding Plan (CFP) oversight and recovery planning, including scenario analysis and tabletop exercises
• Contribute to the Internal Liquidity Adequacy Assessment Process (ILAAP)

Provide analytical support to the CRO as well as Directors of Risk Modelling & Analytics, Enterprise Risk Management, and Credit Risk teams for their reporting to Risk and Compliance Committee and Enterprise Risk Management Committee. Analytics often involve programing language and Power BI tools on the following data:

• Credit and deposit portfolio data
• Market and economics data
• Financial and regulatory data

Assist with enterprise-wide stress testing exercises, including quarterly runs, scenario development, and reporting to senior leadership.

Support Expected Credit Loss (ECL) and stress testing model updates using programming languages such as R.

Skills & Qualifications:

• Bachelor9s degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
• 3-5+ years of experience in risk modelling, analytics, or financial risk management (banking/financial services preferred).
• Strong understanding of interest rate risk, liquidity risk, or model risk management frameworks (e.g., IRRBB, ILAAP).
• Experience with stress testing methodologies and scenario analysis.
• Proficiency in programming and data analysis tools (e.g., R, Python, SQL, or similar).
• Experience with data visualization tools such as Power BI is an asset.
• Strong analytical and problem-solving skills.
• Knowledge of OSFI guidelines and regulatory expectations is an asset.
• Excellent communication skills with ability to present insights clearly.
• Ability to work collaboratively while maintaining an independent oversight mindset.

We are dedicated to building an organization that reflects the diversity of our clients and the communities we serve across Canada. Do you possess and value the same attributes? Are you interested in your own development? Then come join our team!

We confirm that our recruitment process incorporates Artificial Intelligence (AI) in a variety of ways. While technology helps us enhance efficiency and support our hiring efforts, every stage continues to be guided by our recruitment team to ensure thoughtful and fair decision making. The human element remains central throughout our process.

Regular in-office collaboration is an important part of how we work, learn, and succeed together, and we believe great work thrives through in-person connection. Our hybrid model is designed to bring teams together in a modern office environment where collaboration, mentorship, and creativity naturally flourish, while still providing flexibility for focused remote work. While schedules may vary by team and role, successful candidates should expect a consistent in-office presence as part of our hybrid approach.