Director, CCAR Models
Royal Bank of Canada View all jobs
- Toronto, ON
- Permanent
- Full-time
- Work with model users to understand their business requirements.
- Conduct research, review regulatory requirements and consult with industry stakeholders to evaluate best practices for modeling.
- Make recommendations on model methodologies, and develop technical implementation, either for production usage or to serve as a prototype for benchmark testing.
- Provide business requirements with technical implementation details and user acceptance criteria to technology teams for production deployment, and validate implementation using independently developed benchmark models.
- Document model methodologies, implementation details and testing results, and work with internal validation to facilitate their approval of the models.
- Develop tools to assess and monitor model performance, including assumptions and limitations, on an ongoing basis for reporting to the various model monitoring governance committees.
- Investigate and remediate modeling issues identified through regular re-reviews, ongoing monitoring or by internal validation.
- Re-assessment and testing of models, including assumptions and limitations and benchmarking against alternative models, and documentation of the results in models whitepapers and annual assessments for review by internal validation.
- Broad knowledge of traded products across various asset classes.
- Understanding of regulatory requirements and industry best practices for CCAR stress testing.
- Strong analytical and problem solving skills.
- Excellent programming skills (e.g., Python).
- Strong data management and analysis skills (e.g. SQL and Excel).
- Ability to work collaboratively to achieve team goals.
- Agility to adapt to changing circumstances in a dynamic environment.
- Experience managing a team.
- Strong English communication skills, both written and verbal, especially in the explanation of complex modeling concepts to senior management and regulators.
- Masters in Financial Engineering, or a degree in another quantitative subject such as physics, statistics, mathematics or mathematical finance and/or a relevant professional qualification, with concentration in quantitative methods and/or finance.