Model Risk Management Analyst

Closing Date (MM/DD/YYYY): 01/05/2026Worker Type:PermanentLanguage(s) Required:EnglishTerm Duration (in months):Salary Range (plus eligible to receive a performance based incentive, applicable to position) :$92,310 - $124,890Join 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.What you’ll do:Conduct independent validation of models used for credit risk, pricing, adjudication and economic forecastingReview model design, assumptions, performance metrics, and alignment with business requirements and strategiesDevelop and execute validation test plans using Python and other analytical tools or programming languagesPrepare comprehensive validation reports and socialize findings with stakeholders, ensuring clarity and actionable recommendationsOversee and coordinate vendor teams, ensuring adherence to project timelines and quality standardsManage model governance tasks, including maintaining model inventory and ensuring compliance with governance frameworksCollaborate with model owners, risk managers and governance teams to address validation findingsEnsure adherence to internal policies and standards, and actively contribute to their review and revisionStay current with regulatory requirements and industry best practices in model risk managementWhat we’re looking for:Analytical thinker who can design and develop strategies that give users the information they need to make informed decisionsCreative thinker with research, analytical and problem-solving skillsConfident communicator who can make complex information easy to understandRelationship-builder comfortable making recommendations for improvement and socializing validation resultsAbility to manage multiple projects and meet deadlinesPassion for analysis, insights and storytellingWhat you’ll need:A 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)Proficiency in Python or other programming languages for data analysis, data visualization and model testingStrong understanding of statistical and econometric techniquesExperience with model risk policies, governance frameworks and compliance management, including maintaining model inventoryThe following would be considered assets:Hands-on experience developing or validating financial models, especially those related to credit risk, pricing, adjudication or economic forecastingKnowledge of regulatory guidelines (for example, OSFI E-23, IFRS9, BASEL III)Experience with other programming languages or tools (R, SAS, SQL) and data visualization toolsFamiliarity with machine learning and advanced analytics validation methodsYou belong here At 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. We encourage qualified applicants to apply, including members of these four employment equity groups: • Indigenous Peoples • Members of visible minority groups • Persons with disabilities • Women Accessibility and accommodations To support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: TalentSupplyRecherch@fcc-fac.ca. An HR partner will respond and work with applicants who request a reasonable accommodation. Information received in relation to accommodation requests will not impact hiring decisions.