Top Tech Jobs & Startup Jobs in Toronto

Leads the strategy, architecture, engineering roadmap, and operational excellence of TD’s Databricks-powered Global Transaction Banking data platform. Oversees distributed engineering teams building data products, APIs, streaming services, cloud applications, analytics, and AI capabilities. Establishes architecture, governance, security, reliability, DevSecOps, and delivery standards while managing budgets, vendors, risks, and transformation initiatives. Develops engineering leadership and technical talent across global teams in Toronto, New York, and Bangalore.

Processes deposits, withdrawals, bill payments, and other financial transactions accurately while following regulations and procedures. Assesses customer needs, recommends banking solutions, resolves concerns, promotes products, and escalates non-standard issues. Supports team effectiveness, maintains accurate communication, contributes to operational improvements, and delivers positive customer experiences in a fast-paced branch environment.

Leads financial governance, accounting, forecasting, reporting, controls, and close activities for internally developed software capitalization and amortization. Oversees reconciliations, impairment assessments, executive dashboards, audits, process automation, and policy changes. Partners with Finance, Technology, Accounting, and business leaders while coaching finance professionals and driving accurate, timely decision-making across a complex matrixed organization.

Performs claims analysis, develops analytic tools, identifies trends and opportunities, and delivers reporting on claims frequency, severity, and expenses. The role oversees analyses from initial demand through reporting and presentation, communicates insights to executives and partners, and manages stakeholder relationships. Candidates need an actuarial science degree, at least two years of relevant experience, progress toward ACAS, general insurance experience, and strong SQL, Python, and R skills.

Supports the development and maintenance of Commercial Property and Casualty insurance contract wordings, endorsements, forms, coverage summaries, and customer documentation, including French versions. Conducts coverage comparisons, regulatory and market research, and supports product development, training, stakeholder relationships, and risk management. Provides fact-based recommendations while managing multiple priorities in a fast-paced environment.

Leads and mentors a team of applied machine learning scientists developing predictive AI for regression, classification, and anomaly detection. Provides technical and strategic leadership, designs enterprise-scale AI/ML systems, translates business objectives into scalable solutions, collaborates with engineering and research teams, and ensures governance and regulatory compliance across Canadian Personal Banking.

Develop and validate predictive credit risk models using large retail lending datasets, advanced statistical methods, and machine learning. Build dashboards highlighting expected credit losses and risk drivers, support model validation and compliance, and provide analytical insights to retail risk, finance, and product stakeholders. The role also involves data mining, portfolio segmentation, model documentation, and decision support for lending growth, profitability, and risk management.

Supports auto insurance claims from accident notification through resolution. Responsibilities include arranging towing and appraisals, explaining policy coverage, collecting and verifying documentation, reconciling repair estimates, coordinating with vendors and repair shops, investigating discrepancies, negotiating settlements, maintaining claim records, and providing timely customer updates. The role also involves greeting customers at auto centres, meeting productivity objectives, and contributing to a positive, customer-focused team environment.

Develops and deploys advanced machine learning solutions and enterprise analytics using Python, PySpark, PyTorch, SQL, cloud platforms, deep learning, and large language models. Partners with business owners, engineers, data scientists, and modelers to translate business objectives into technical solutions, generate insights, and deliver production AI/ML systems. Provides technical leadership, stakeholder communication, risk governance, research, mentorship, and continuous improvement across complex initiatives.

Processes deposits, withdrawals, bill payments, and other financial transactions accurately and according to regulations. Assesses customer needs, recommends suitable banking products and services, resolves concerns, promotes business objectives, and delivers positive customer experiences. The role also supports team effectiveness, maintains accurate administrative processes, and identifies opportunities for operational improvement.