Associate Director, GRA - Market Risk Analytics

RBC•Toronto, ON

4d•Onsite

About The Position

GRA (Global Risk Analytics) Market Risk Methodology team has primary responsibility for risk methodologies related to the measurement of market risk for RBC trading business and selected investment portfolios. This includes leading the methodology specifications, prototype implementation, as well as performance monitoring and maintenance of these methodologies. The team is also responsible for market data and scenarios services to various risk systems. As Associate Director, you will take a leading role and undertake analysis to design, develop, and provide ongoing maintenance of the quantitative models used in internal risk management and regulatory capital reporting. In this role you will support capital markets trading and investment portfolios across different asset classes. This includes working with the business and the broader risk teams to manage risk scenarios design and data quality control which ultimately facilitates the bank’s effective risk management and governance on market and counterparty credit risk model usage.

Requirements

Over 3 years of working experience in data analysis or quantitative analytics.
Broad knowledge of traded products across various asset classes.
Strong analytical and independent problem-solving capabilities.
Excellent programming skills (Python or equivalent).
Proficiency in data management and visualization tools, including databases (SQL/Tableau).
Ability to collaborate effectively and contribute to team objectives.
Adaptability to changing circumstances in dynamic environments.
Excellent communication skills with the ability to simplify complex information clearly.

Nice To Haves

Prior experience in a trading or risk modeling role.
Proficiency in developing statistical models using complex, large-scale time series datasets.
Knowledge of current analytics technologies and architectural frameworks for design, development, and implementation.

Responsibilities

Work with model users to evaluate and develop market data and scenario generation methodologies for critical risk factors, balancing business enablement with adherence to data and risk management governance standards.
Recommend and implement model enhancement under reasonable timelines, leveraging internal analytics tools and infrastructure to deliver robust solutions that meet business objectives.
Identify, communicate, and document deficiencies in risk data and methodologies, develop remediation plans and timelines aligned with model validation and governance requirements.
Support internal model validation to facilitate their independent review and approval.
Lead the development and automation of risk analysis infrastructure, standardizing processes and tools to enhance efficiency and consistency.
Drive continuous improvement by evaluating and implementing emerging technologies including machine learning and AI tools to enhance data quality validation and analytical capabilities.
Direct cross-functional agile teams in end-to-end delivery of risk and analytics solutions, ensuring alignment with business priorities and stakeholder expectations.