Top Tech Jobs & Startup Jobs

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.

Analyze wholesale credit portfolio data to identify risks and trends, prepare recurring risk reports, conduct sector deep dives, and translate data into recommendations. The intern will support data extraction, transformation, visualization, reporting infrastructure, and analytics design using Excel, SQL, Python, Tableau, and emerging generative AI tools.

Four-month data science co-op supporting RBC’s Enterprise Control Testing AI and Automation team. Responsibilities include business analytics, process optimization, data profiling and cleaning, data mining, statistical and heuristic analysis, visualization, technical documentation, and communicating insights to technical and non-technical audiences. The intern will use Python, SQL, version control, and potentially NLP and AI techniques to develop data-driven solutions.

Assist data scientists, engineers, and analysts with operational risk analytics. Partner with risk stakeholders to document requirements and metric logic, create and execute QA test cases, support applications and production issues, investigate deficiencies, and recommend solutions. The role requires Python scripting, Microsoft Office proficiency, analytical thinking, strong communication, attention to detail, and eligibility for an eight-month student placement in Ontario.

Actuarial co-op student supporting pricing and valuation modeling, assumption validation, market and trend analysis, reporting, capital measurement, and special quote analysis. The role uses AXIS, R, SQL, Excel, and other tools to develop actuarial models, streamline processes, analyze results, and communicate findings to management and stakeholders. Candidates gain exposure to insurance sales, pricing, valuation, risk, capital, investment strategy, and liability cash flow management.

Supports Global Special Investigations and Forensic Accounting teams with financial crime investigations. Gathers, reviews, and analyzes documents, account activity, and other data to identify losses and intelligence while mitigating financial, regulatory, reputational, and legal risks. Manages assigned cases, provides updates to senior management, and helps improve investigation processes and tools.

Supports enterprise risk identification and assessment through research, analysis, and monitoring of global economic, geopolitical, societal, and technological trends. Assists with risk presentations, white papers, quarterly and annual reporting for senior management and the Board, and updates to the enterprise Risk Repository. Collaborates with Group Risk Management, business segments, Economics, Treasury, and Strategy teams while developing foundational risk management knowledge.

Design, build, and deploy AI and machine learning solutions, including large language models, for balance sheet and liquidity risk management. Collaborate with data engineers, data scientists, software engineers, and business stakeholders to develop scalable solutions using modern tools and infrastructure. Contribute to transformational projects, explore improved technologies and processes, and participate actively in the RBC development community.