Associate Director, Global Risk Analytics

• 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 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, and knowledge of regulatory & internal risk management requirements for market risk, CCR and CCAR
• Strong analytical and problem solving skills
• Excellent programming skills (e.g., Python, MatLab)
• Data management and analysis skills (SQL and Excel required)
• Ability to work collaboratively to achieve team goals
• Agility to adapt to changing circumstances in a dynamic environment
• 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.
• Knowledge in statistics is considered a strong asset.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to take on progressively greater accountabilities

Royal Bank of Canada