Top Tech Jobs & Startup Jobs in Toronto

Analyze credit risk and portfolio data, prepare recurring and ad hoc reports, support analytics automation, contribute to data lifecycle activities, document requirements, and explore generative AI tools for risk-management insights.

Supports procurement business operations through project contributions, process documentation, stakeholder needs analysis, business solution support, and creation of web content, training materials, user guides, and FAQs. The intern will work under supervision, develop departmental tool and process knowledge, and collaborate on gathering and documenting information. Strong communication, analytical thinking, initiative, and Microsoft Office skills are required.

Develop and enhance AML/ATF transaction-monitoring solutions using Python, machine learning, network analysis, NLP, and advanced analytics. Analyze large datasets to identify elevated financial and reputational risk, tune detection models, visualize performance, document methodologies, and recommend improvements. Collaborate with AML analytics teams, business partners, industry peers, and vendors while researching emerging technologies and best practices.

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.