About the role

Senior Business Intelligence Analyst leading complex analytical work for FCC in credit risk and capital management. Collaborating across divisions to provide insights and recommendations.

Responsibilities

Play a critical role in shaping how FCC understands, measures and discusses credit risk, capital and risk‑adjusted performance
Independently lead complex analytical work that informs decisions on new products, strategic initiatives, portfolio risk and capital allocation
Analyze credit risk and capital impacts (expected loss and ECAP) for new products, programs, and strategic initiatives including reasonability assessments and sensitivity analysis
Lead end‑to‑end analytical projects independently, from problem framing through delivery of clear recommendations
Identify trends, concentrations and emerging vulnerabilities in FCC’s loan portfolio using large, complex datasets
Develop and interpret forward‑looking scenarios and stress analysis to support ICAAP, planning, and senior management discussions
Translate technical results from risk models into plain‑language insights that enable informed decision‑making
Facilitate and enable conversations about capital, profitability and risk‑adjusted performance across the organization
Partner closely with Risk, Finance, Operations, Core Banking and other stakeholders

A degree in finance, economics, mathematics, statistics, computer science or a related quantitative field
Significant experience in credit risk, capital management or advanced analytics within a financial institution
Significant 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 metrics
Advanced analytical and problem‑solving skills, with the ability to work independently on complex, ambiguous problems
Strong data skills and experience working with large datasets (e.g., SAS, Python); experience with visualization tools such as Power BI or QuickSight
Excellent communication and interpersonal skills, with the ability to influence and collaborate across functions