Teams at RBC

Supports High Risk Client Management teams with enhanced due diligence and anti-money laundering and terrorist financing risk assessments. Responsibilities include investigating high-risk clients, identifying risk indicators, researching alerts and referrals, preparing written assessments, assigning risk ratings, and determining when further documentation or investigation is required. The role requires strong analytical, investigative, communication, and problem-solving skills, along with proficiency in Microsoft Office.

Develop and prototype AI applications for market and counterparty credit risk policy development and management. Collaborate with stakeholders to translate business problems into analytical solutions, conduct exploratory data analyses, identify actionable insights, and automate workflows. The role involves experimenting with LLMs, generative AI, prompt engineering, MCP integrations, machine learning, and deep analytics while communicating technical findings to non-technical stakeholders.

Four-month student placement supporting Financial Crimes Quality Assurance by designing and implementing analytics projects, executing ETL and large-data analysis with Python, building dashboards in Power BI, summarizing results for stakeholders, and promoting data-driven insights within an agile team.