
2026 Winter - GRM, Counterparty Credit Risk Intern (4 Months)
- Toronto, ON
- Contract
- Full-time
- Provide independent risk analysis to recommend close-out loan-to-value requests from Wealth Management and Canadian Private Banking for margin lending transactions on vanilla products, such as common stock, ETF, bond and fund.
- Participate in risk reporting processes and ad-hoc projects to investigate trends or counterparties of interest.
- Assist in the development of CCR’s data visualization tool which is used for reporting and analysis.
- Knowledge of market risk, derivative credit risk, including: Value-at-Risk measurement and back-testing, stress testing and scenario analysis, sensitivity analysis, potential future exposure calculation
- Self-motivated individual with a high level of analytical capabilities and attention to detail
- Knowledge of markets and products including equity, bond, structured products as well as current and upcoming regulatory/compliance requirements
- Excellent written and oral communication skills
- Excellent team player with strong interpersonal skills
- Ability to work under pressure and against tight deadlines
- Good command of Excel, VBA programming and SQL
- Expert in object-oriented programming, especially Python and PySpark; Experience with building dashboards using Plotly and Dash in Python.
- Knowledge on Designing and Implementing Data Models using sql server & sqlite which includes database schema design ,normalization ,indexing and optimization for efficient data storage and retrieval.
- Hands on experience with system configuration and DevOps tools (Jira, Git, GitHub and Confluence)
- Self-starter with excellent communication skills
- Progress towards an MBA, MA, MS or equivalent with emphasis in finance, economics, or a quantitative discipline is preferred
- Cloud : AWS and Azure Data Analytics services
- SQL/Data Stores: PostgreSQL, S3, HDFS
- Service Telemetry: Open Telemetry, Prometheus, Jaeger and similar tools
- CI/CD pipeline design, development
- Proficiency in Kubernetes ,OpenShift and Docker deployment.
- Familiarity running distributed ML workloads in cluster orchestrated environments
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work and make a difference
- Opportunities to building close relationships
- Be returning back to school after the work term end-date of April 2026 ; or
- If you are not returning back to school (i.e. are graduating in April 2026), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.