Top Tech Jobs & Startup Jobs in Toronto

Lead end-to-end accounting and financial reporting for Private Wealth: consolidation, variance analysis, journal entries, reconciliations, and month/quarter/year-end close. Prepare reporting packages, support internal and external audits (including SOX), build reports and dashboards, partner with stakeholders, track strategic initiatives, and provide analytical insights and recommendations to improve processes and governance.

Lead enterprise strategic initiatives by partnering with the C-suite and senior leaders to develop, prioritize, and implement strategy. Structure complex projects, manage teams, produce data-driven analyses and business cases, oversee performance monitoring and change management, and communicate recommendations to executive audiences. Act as trusted advisor, support M&A, digital/AI and portfolio decisions, and coach team members to enable cross-bank delivery of strategic priorities.

Support Capital Markets Supervision by reviewing surveillance and trade reports, validating activity, and documenting results. Analyze surveillance data, monitor electronic and voice communications, assist regulatory risk assessments, build supervisory procedures, and collaborate with legal, operations, middle office and second-line compliance to ensure adherence to OTC derivatives and swap dealer regulations.

Deliver quantitative analytics and models for portfolio, ALM, and balance-sheet metrics. Build Python-based analytics, data pipelines, and dashboards. Run scenario and stress tests, pre/post-trade analysis, and decompose portfolio and surplus risk. Support PMs, ALM, and Risk teams with documented, reproducible analytics.

The Mainframe z/OS Systems Programmer is responsible for developing and implementing IT infrastructure strategies, ensuring system reliability, and collaborating with stakeholders on infrastructure solutions.

Participate in a 12-month cohort program performing financial analysis, credit risk assessment, underwriting and portfolio monitoring for commercial loans. Prepare credit summaries, support loan structuring and deal execution, ensure compliance with policies, maintain client relationships, identify cross-sell opportunities, and manage accurate data entry to support lending decisions and portfolio performance.

Lead enterprise-level analytics and ML efforts to build predictive models, mine large structured and unstructured data, and provide data-driven recommendations to senior stakeholders. Collaborate with product teams to design AI/ML solutions, advance data strategies, implement big data and visualization tools, and manage ambiguity while applying risk management and ethical considerations.

Drive the full software development lifecycle: translate user requirements into technical specifications, design and write code, test and maintain applications, ensure security and performance standards, evaluate new technologies, follow release/version control processes, troubleshoot and resolve system issues, and collaborate with stakeholders to deliver and support microservices and cloud-based solutions.

Lead development of the risk-based Annual Audit Plan, analyze audit findings and performance metrics, maintain reporting dashboards, and deliver data-driven reporting and Board-level materials. Partner with stakeholders to advise on risk, governance, controls and audit methodology, develop data analytics curriculum, track performance against objectives, and drive strategic audit initiatives to ensure transparency and effective execution of Corporate Audit priorities.

Lead and develop a team of decision scientists to build, deploy, monitor, and govern credit risk models for underwriting, account management, and collections. Ensure production readiness, data preparation, feature engineering, model performance monitoring, and regulatory alignment. Partner with Technology and Product, apply ML/AI selectively, communicate insights to senior leadership, and drive model risk management.