Senior BI Engineer building data models, semantic layers, and dashboards for Jobber’s small - business service platform. Driving governed self - service analytics and trusted business metrics.
FC
Senior Business Intelligence Analyst – Capital Quantification
Posted 6 months ago
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
Requirements
- 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
Benefits
- market-aligned and performance-based salary and incentive programs
- flexible and comprehensive group benefit and savings plans
- well-being support through benefits and wellness programs
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