Manager – Enterprise Model Risk Management
| Company | Royal Bank of Canada |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Mid Level, Senior |
Requirements
- Graduate degree in a quantitative discipline such as physics, math, engineering, computer science, statistics, finance or financial engineering. Strong academic and research background may also count towards work experience.
- At least 2 years of work experience in mathematical/statistical modeling in a similar or related role such as a model developer/validator, a front office quant, a risk quant, or a risk manager. Ph.D. research count as experience.
- Proficient in model development in Python or other programming language.
- Broad exposure to and excellent knowledge of a wide range of financial models and model validation/testing techniques.
- Exceptional analytical, statistical, computational and critical thinking skills.
Responsibilities
- Perform effective challenge of model inputs, methodology, and implementation. Independently build replication/benchmarking models.
- Engage model builders and related function groups personnel as necessary in order to proactively assess, document, and independently validate mathematical/statistical models and their usage by the bank.
- Acquire and maintain a thorough understanding of the flow and context of model usage by the business.
- Ensure that model users adhere to RBC model risk policy.
Preferred Qualifications
-
No preferred qualifications provided.