Job DescriptionWhat is the opportunity?The Associate Director, Model Innovation and Implementation is responsible for the conceptual design, development, implementation, deployment, documentation and maintenance of models used to measure market risk and counterparty credit risk within the bank's risk management frameworks. This includes ensuring that the model's underlying methodologies are appropriate and that they are implemented with integrity so that they accurately measure RBC's risks.
In your role, you will be focused on building and implementing trading risk methodologies for instruments across various asset classes, as well as ensuring that the strategic build-out of the overall platform is complete and robust. You will leverage AI tools to boost efficiency and accelerate development cycles, enabling you to deliver high-impact solutions while maintaining rigorous quantitative standards.
What will you do?- Conduct research, review regulatory requirements and consult with industry stakeholders to evaluate best practices for modeling, and develop market risk methodologies.
- Become proficient with key risk features of the products and risk factor identification process in the trading portfolio
- Develop, maintain and integrate risk model libraries with the overall enterprise architecture to provide end-to-end solutions.
- Work with risk and technology partners to productionize risk methodology implementations by adopting industrial standard and strategic architecture.
- 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, and benchmark against alternative models
- Maintain existing market risk models by conducting exercises include but not limited to regular model recalibrations, and assumption re-assessment.
- Utilizing AI tools and emerging technologies to enhance productivity, streamline development processes, and improve code quality while maintaining compliance and accuracy standards.
What do you need to succeed? Must-have - 2+ years of working experience in regulatory & internal risk management requirements under market risk, CCAR or counterparty credit risk.
- Broad capital markets product knowledge across various asset classes.
- Strong analytical and problem solving skills
- Strong Python development skills with focus on finance use cases
- Above average oral and written presentation skills: ability to present clearly complicated modelling concepts and techniques to senior management
- Ability to work collaboratively to achieve team goals
- Agility to adapt to changing circumstances in a dynamic environment
- Masters in Financial, Engineering, Statistics or equivalent. PhD in Finance, Engineering or Applied Sciences
Nice-to-have - Experience in Big Data development and toolsets (HDFS, PySpark, Spark, Scala, etc.)
- Knowledge and experiences in AI models and tools, such as Copilot, Claude, Agents, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Transformers, and similar emerging AI technologies
What's in it for you? - A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
- Leaders who support your development through coaching and managing opportunities
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work
Job SkillsClient Counseling, Critical Thinking, Economic Analysis, Financial Derivatives, Financial Instruments, Investment Banking Analysis, Investment Risk Management, Market Risk, Quantitative Methods
Additional Job DetailsAddress:ROYAL BANK PLAZA, 200 BAY ST:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:GROUP RISK MANAGEMENT
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-06-10
Application Deadline:2026-07-10
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
