Senior Analyst, Risk Modeling & Analytics

Senior Analyst, Risk Modeling and Analytics

As a Senior Analyst, Risk Modeling & 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 Modeling & 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.

• 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 Modeling & Analytics, Enterprise Risk Management, and Credit Risk teams for their reporting to Risk and Compliance Committee and Enterprise Risk Management Committee. Analytics often involve programming language and Power BI tools on the following 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.

• Bachelor’s 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.

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.

MCAN is committed to providing accommodation to applicants throughout the job application and interview process to the point of undue hardship. If you require any accommodations, please contact our Human Resources team at  Requests for accommodation can be made at any stage in the recruitment process.