Top Tech Jobs & Startup Jobs in Toronto

Supports the Senior Manager and Global Intra-Group Arrangements Governance team by executing risk management activities, prioritizing requests, analyzing data, preparing concise reports, and coordinating with stakeholders and Supplier Management Offices. The intern will help identify issues, recommend solutions, share best practices, and build relationships across RBC platforms and support groups.

Build and optimize ETL/ELT pipelines for balance sheet and liquidity risk data. Develop Python and SQL validation logic, automate data quality checks, schedule recurring jobs, monitor pipeline runs, resolve failures, investigate discrepancies, and apply AI-assisted tools for development and documentation. The role also supports risk reporting, analytics, and communication with non-technical stakeholders.

Supports Global Procurement through spend analysis, supplier management, contract review and negotiation, sourcing processes, eRFx activities, due diligence, performance metrics, cost-savings analysis, risk mitigation, and stakeholder reporting. The intern also helps acquire goods and services, improve sourcing processes, and use data to influence demand-management opportunities.

Support wholesale credit data governance by maintaining data assets and documentation, automating data monitoring tools, improving data-quality reporting, and establishing validation processes. The intern will use Python, SQL, Tableau, and AI to enhance data governance and ensure reporting accuracy. Responsibilities also include documenting quality assurance evidence and supporting data-management initiatives.

Develop full-stack enterprise web applications using Python and Dash, build backend data-processing services with Pandas, create interactive data interfaces, integrate AI/ML models, and apply software engineering practices including testing, documentation, version control, code reviews, and deployment pipelines. Collaborate with stakeholders, product managers, and developers to refine requirements and deliver scalable data solutions.

Supports RBC Global Procurement’s Technology Sourcing team through spend analysis, supplier management, contract review and negotiation, sourcing processes, eRFx activities, due diligence, performance metrics, savings identification, and risk mitigation. The intern helps business units acquire goods and services, analyzes procurement data, reports insights, and improves end-to-end sourcing processes. This is a four-month Winter 2027 student placement requiring enrollment at a Canadian post-secondary institution.

Supports an insurance special projects team with IFRS 17 documentation, financial modeling, data sourcing, accounting-system testing, journal-entry analysis, control automation, issue resolution, reporting, forecasting, and financial analytics. Develops Python-based tools, creates test cases and documentation, supports production fixes, and analyzes insurance accounting, investment, actuarial, regulatory, and financial data requirements.

Supports quantitative risk model analysis and regulatory capital reporting across market and counterparty credit risk. Responsibilities include developing market data and scenario methodologies, evaluating model performance, benchmarking, automating risk analytics infrastructure, validating data quality with AI and machine learning, and coordinating agile delivery of risk solutions. The intern collaborates with business and risk teams and contributes to governance, process standardization, and continuous improvement.

Supports business teams by extracting and transforming enterprise data, writing SQL queries and Python scripts, developing reports and dashboards, documenting processes, and responding to ad hoc data requests. Works collaboratively under supervision while analyzing large datasets and assisting with data issue debugging and query optimization. This is a four-month student co-op placement from January through April 2027, requiring the candidate to be enrolled in an undergraduate program and located in Ontario.

Develop Python and SQL analytics tools for stress testing, analyze credit losses and capital impacts, apply generative AI and LLMs to risk workflows, and build dashboards and visualizations. Support AI-enabled risk-monitoring prototypes through requirements gathering, testing, documentation, and collaboration with quantitative analysts. Communicate technical findings clearly to technical and non-technical stakeholders while contributing to benchmarking, automation, reporting, and data validation.