Senior Manager, Credit Risk Modelling and Analytics, Enterprise Stress Testing

Senior Manager, Credit Risk Modelling and Analytics, Enterprise Stress Testing Location: Canada, Ontario, Toronto We invite you to join a purpose‑driven, high‑performing team committed to results in an inclusive culture. As the Senior Manager, Credit Risk Modelling and Analytics, Enterprise Stress Testing, you will play a pivotal role in the IFRS 9 credit risk modelling, analytics, and reporting for Business Banking portfolios. You will be responsible for executing individual goals and initiatives that support the team’s business strategies, ensuring compliance with regulations, internal policies, and procedures, and reporting directly to a Director. You will have access to a modern machine‑learning stack—including open‑source development environments, a cloud computing platform, and data visualization and business intelligence tools—to support the full life cycle of IFRS9 models covering the Bank’s Business Banking portfolio. Responsibilities Develop credit risk models that predict probability of default, loss given default, and exposure as default for IFRS 9 provisioning and financial reporting. Build, enhance, and automate processes for the timely execution and analysis of quarterly results, SOX controls, model impacts, and macroeconomic sensitivities. Collaborate with stakeholders and technology teams to implement and execute models and analyses for ongoing financial disclosure, regulatory reporting, and ad hoc analyses. Support stress‑testing teams using IFRS 9 models for enterprise‑wide stress testing and other ad hoc stress tests. Document all models and processes and work with the model validation team to ensure timely and satisfactory validation. Embed the Bank’s risk appetite and culture into day‑to‑day activities, championing a customer‑focused culture that deepens client and broader Bank relationships. Qualifications Must Have Advanced training or graduate degree in a quantitative discipline with predictive modelling, machine learning, statistical, and programming experience. Proficiency in Python and R, with strong computing development skills. Excellent communication skills and the ability to summarize and display data clearly to stakeholders across functions. Rapid learning of new concepts and technologies. Experience with Linux/UNIX systems and version control software such as Git. Minimum of 2+ years of experience in financial services building IFRS 9, AIRB, or similar models for wholesale exposures. Nice to Have Experienced user of Microsoft Office (PowerBI, Excel, Word, PowerPoint). FRM or CFA credentials. Key Skills & Attributes Strong integrity and a commitment to doing the right thing. Comfortable setting ambitious yet realistic goals and achieving them. Social, engaging, and curious, eager to learn from global partners. Awareness of the responsibility that model outputs have on the Bank’s financial statements. Ability to read complex regulatory requirements, identify optimization opportunities, and pursue compliance excellence. Passion for programming, data, and modelling. Commitment to quality—statistical, process, and governance. Strong verbal and written communication skills. Benefits and Growth An inclusive and collaborative environment that encourages creativity, curiosity, and celebrates success. A competitive rewards package: performance bonus, Employee Share Ownership Program, and Pension Plan Matching, plus health benefits from day one. Career development and progression opportunities. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Finance and Sales – Banking At Scotiabank, we value the unique skills and experiences each individual brings and are committed to creating an inclusive and accessible environment for everyone. If you require accommodation during the recruitment process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest; only selected candidates will be contacted. #J-18808-Ljbffr