Associate Director – Retail Credit Stress Testing
Company | Royal Bank of Canada |
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Location | Toronto, ON, Canada |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s, Master’s |
Experience Level | Senior |
Requirements
- Bachelor’s or master’s degree in Finance, Accounting, Risk Management, Engineering, Computer Science, Statistics, Mathematics, Behavioral Economics, or other quantitative field of study.
- 3+ years of industry experience in risk management (credit, liquidity and/or market risk) and/or risk consulting.
- Solid knowledge of stress testing and credit risk methodologies.
- Advanced proficiency with Excel, Python, SQL, and PowerPoint.
- Strong analytical, communication and time management skills.
Responsibilities
- Perform retail credit risk stress testing exercise and ad-hoc analyses.
- Analyze data using empirical and statistical techniques to fine-tune financial and risk projections.
- Produce credit risk stress testing reports and presentations.
- Take ownership of the planning and execution of stress testing activities.
- Engage cross-functional stakeholders across Finance, Retail Risk, Model Risk, Business Segments, and Corporate Treasury.
- Coordinate with relevant subject matter experts to integrate the latest advancements in climate risk modelling into the credit risk projections.
- End-to-end project management, from idea conception, solution design, stakeholder buy-in, implementation and monitoring.
Preferred Qualifications
- Graduate degree in a relevant field.
- Experience analyzing retail / personal lending product portfolios.
- Proficiency with a range of data tools, such as Tableau, Bloomberg Terminal, etc.
- CFA, FRM, CPA, or any finance- or risk-related professional designation/certification.
- Experience applying statistical concepts including, but not limited to: linear and logistic models, supervised statistical learning, clustering, recommendation systems, times-series analysis, experimental design (A/B testing).
- Understanding of model risk management and validation processes.