Top Tech Jobs & Startup Jobs in Toronto

Support and execute enterprise liquidity and funding management: measure and report regulatory and internal funding risks, develop models and stress tests, advise business partners on mitigation and recovery planning, design reports and dashboards, monitor balance sheet usage, and liaise with regulators and stakeholders to inform strategy and limits.

Lead enterprise Responsible AI and AI governance: develop standards, policies, evaluation frameworks and KPIs; review AI use cases, manage risks, advise stakeholders and regulators, drive continuous improvement, and lead a team to implement governance across the bank.

As an AI Engineer, you'll design and deliver agentic systems that integrate Large Language Models to enhance business workflows and operational efficiency, providing hands-on technical leadership and creating enterprise-grade AI solutions.

Lead design and delivery of cloud-native AI applications (agentic AI, RAG, LLM integration). Build and optimize RAG pipelines, vector DBs, and multi-agent orchestration. Implement MLOps/LLMOps, CI/CD, security and governance, model evaluation and optimization. Provide technical leadership, mentor teams, translate business needs into AI solutions, and ensure alignment with risk and regulatory frameworks.

Lead development and execution of end-to-end retail credit customer strategies across acquisition, account management and collections. Use advanced analytics, modeling and decisioning tools to optimize risk-return, forecast losses, embed data-driven decisioning in operations, and ensure alignment with policy, oversight and business stakeholders. Manage and mentor a diverse team, drive continuous improvement, and support regulatory and 2nd-line review processes.

Review and monitor Book of Record issue records to ensure accuracy, risk alignment, and audit-defensible rationale. Track issue lifecycle, validate remediation plans and timelines, provide constructive 1LOD challenge, align issues to risk and control frameworks, prepare governance reporting, and engage stakeholders to drive issue resolution and standards.

Design and build ML and deep learning models, perform large-scale data analysis and EDA, collaborate with engineers and product teams on ETL and data solutions, provide data-driven recommendations to business stakeholders, and scale analytics into production-ready solutions.

Lead global financial close for Capital Markets, ensuring accurate, timely reporting, disclosures, reconciliations and quarter-end analytics. Manage a team, partner with senior stakeholders and auditors, drive controls, process improvements, regulatory reporting and provide financial insights to support business decisions.

Designs and executes independent, risk‑based testing of the Bank's control frameworks across business units and transversal functions. Develops testing plans and scripts, identifies and reports control gaps, advises on remediation and management action plans, and monitors closure. Acts as subject matter expert on control frameworks, performs data analysis for compliance insights, and builds relationships with stakeholders and regulators to ensure effective governance and regulatory adherence.

Design and build predictive models and machine learning solutions using big-data technologies. Mine structured and unstructured data, develop end-to-end scoring pipelines, collaborate with product teams and stakeholders, and provide data-driven recommendations to senior leaders to improve customer experience and business outcomes.