Senior Business Intelligence Analyst; Capital Quantification

Position: Senior Business Intelligence Analyst (Capital Quantification) Closing Date (MM/DD/YYYY):04/05/2026Worker Type:Term (Fixed Term)Language(s) Required:EnglishTerm Duration (in months):21Salary Range (plus eligible to receive a performance based incentive, applicable to position) :$105,145 - $142,255Why FCC?At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide.Here’s what you can expect when you join our team:Competitive total rewards packages: market-aligned and performance‑based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well‑being support through benefits and wellness programsPurpose-driven work: We build strong relationships, share knowledge and support the people who feed the worldGrowth: Learning and development opportunities to help you thriveHybrid work optionsHow you’ll make an impactPlay a critical role in shaping how FCC understands, measures and discusses credit risk, capital and risk‑adjusted performance. As a Senior Business Intelligence Analyst on the Capital Quantification team, you’ll independently lead complex analytical work that informs decisions on new products, strategic initiatives, portfolio risk and capital allocation.Your work will span expected loss (ACL), economic capital (ECAP) and forward‑looking scenario analysis, helping FCC identify emerging risks, understand portfolio vulnerabilities and assess trade‑offs between growth, profitability and risk. With a high degree of curiosity and a desire to understand the ‘why’ behind the numbers, you’ll use your technical abilities and agriculture industry knowledge to translate complex modelling outputs into clear, decision‑ready insights and actively facilitate discussions with senior leaders and stakeholders across Risk, Finance, Core Banking and Operations.As a subject‑matter expert, trusted technical resource and mentor, you’ll help strengthen analytical capability across the team, influence how data and processes evolve and contribute to a culture of curiosity, rigor and continuous improvement.What you’ll doAnalyze credit risk and capital impacts (expected loss and ECAP) for new products, programs, and strategic initiatives including reasonability assessments and sensitivity analysisLead end‑to‑end analytical projects independently, from problem framing through delivery of clear recommendationsIdentify trends, concentrations and emerging vulnerabilities in FCC’s loan portfolio using large, complex datasetsDevelop and interpret forward‑looking scenarios and stress analysis to support ICAAP, planning, and senior management discussionsTranslate technical results from risk models into plain‑language insights that enable informed decision‑makingFacilitate and enable conversations about capital, profitability and risk‑adjusted performance across the organizationPartner closely with Risk, Finance, Operations, Core Banking and other stakeholders to ensure analyses are relevant, well‑understood, and actionableRecommend and influence improvements to data quality, analytical processes and reporting frameworksProvide leadership, coaching and mentorship to other analystsChampion strong analytical practices, intellectual curiosity and continuous learning within the teamWhat you’ll bring to the teamA degree in finance, economics, mathematics, statistics, computer science or a related quantitative fieldSignificant experience in credit risk, capital management or advanced analytics within a financial institutionSignificant experience with expected loss, economic capital, and portfolio credit risk concepts, including how IFRS 9 (Allowance for Credit Losses) and OSFI’s Capital Adequacy Requirements (CAR) influence their measurement, governance, and impact on capital and risk‑adjusted performance metricsAdvanced analytical and problem‑solving skills, with the ability to work independently on complex, ambiguous problemsStrong data skills and experience working with large datasets (e.g., SAS, Python); experience with visualization tools such as Power BI or Quick SightExcellent…