\r\n\r\nLocation:\r\n\r\nKanata, Ontario\r\nMontreal, Quebec\r\nToronto, Ontario\r\nVarious FCC offices may be considered\r\nRegina, Saskatchewan\r\n\r\n \r\n\r\nClosing Date (MM/DD/YYYY):\r\n\r\n01/05/2026\r\n\r\n \r\n\r\nWorker Type:\r\n\r\nPermanent\r\n\r\n \r\n\r\nLanguage(s) Required:\r\n\r\nEnglish\r\n\r\n \r\n\r\nSalary Range (plus eligible to receive a performance based incentive, applicable to position) :\r\n\r\n$92,310 - $124,890\r\n\r\n \r\n\r\nJoin our Model Validation and Risk Management team as a Model Risk Management Analyst, where you’ll validate credit risk, pricing, adjudication and economic models, ensuring they meet regulatory, business and governance standards, and maintain their records in the Model Inventory. You’ll also contribute to policy and standards reviews, manage model governance activities throughout the model life cycle and supervise vendor teams on assigned validation projects.\r\n\r\n \r\n\r\nWhat you’ll do:\r\n\r\n\r\n\tConduct independent validation of models used for credit risk, pricing, adjudication and economic forecasting\r\n\tReview model design, assumptions, performance metrics, and alignment with business requirements and strategies\r\n\tDevelop and execute validation test plans using Python and other analytical tools or programming languages\r\n\tPrepare comprehensive validation reports and socialize findings with stakeholders, ensuring clarity and actionable recommendations\r\n\tOversee and coordinate vendor teams, ensuring adherence to project timelines and quality standards\r\n\tManage model governance tasks, including maintaining model inventory and ensuring compliance with governance frameworks\r\n\tCollaborate with model owners, risk managers and governance teams to address validation findings\r\n\tEnsure adherence to internal policies and standards, and actively contribute to their review and revision\r\n\tStay current with regulatory requirements and industry best practices in model risk management\r\n\r\n\r\n \r\n\r\nWhat we’re looking for:\r\n\r\n\r\n\tAnalytical thinker who can design and develop strategies that give users the information they need to make informed decisions\r\n\tCreative thinker with research, analytical and problem-solving skills\r\n\tConfident communicator who can make complex information easy to understand\r\n\tRelationship-builder comfortable making recommendations for improvement and socializing validation results\r\n\tAbility to manage multiple projects and meet deadlines\r\n\tPassion for analysis, insights and storytelling\r\n\r\n\r\n \r\n\r\nWhat you’ll need:\r\n\r\n\r\n\tA bachelor’s degree in agriculture, finance, business, economics, mathematics, statistics or computer science and at least four years of experience (or an equivalent combination of education and experience)\r\n\tProficiency in Python or other programming languages for data analysis, data visualization and model testing\r\n\tStrong understanding of statistical and econometric techniques\r\n\tExperience with model risk policies, governance frameworks and compliance management, including maintaining model inventory\r\n\tThe following would be considered assets:\r\n\tHands-on experience developing or validating financial models, especially those related to credit risk, pricing, adjudication or economic forecasting\r\n\tKnowledge of regulatory guidelines (for example, OSFI E-23, IFRS9, BASEL III)\r\n\tExperience with other programming languages or tools (R, SAS, SQL) and data visualization tools\r\n\tFamiliarity with machine learning and advanced analytics validation methods\r\n\r\n\r\n \r\n\r\nYou belong here \r\nAt FCC, we’re committed to creating an inclusive, equitable and accessible workplace – one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we’re dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives. \r\n \r\nWe encourage qualified applicants to apply, including members of these four employment equity groups: \r\n• Indigenous Peoples \r\n• Members of visible minority groups \r\n• Persons with disabilities \r\n• Women \r\n
