Top Tech Jobs & Startup Jobs in Toronto

Analyzes business operations, processes, data, and technology performance to define requirements and recommend solutions. Collaborates with stakeholders and project teams throughout the delivery lifecycle, creates functional and non-functional documentation, supports application design, develops test cases, and validates end-user testing. Provides specialized analytical and technical consulting, troubleshoots system issues, identifies process improvements, and delivers insights supporting business decisions while adhering to risk management policies.

Leads enterprise mainframe performance and capacity management, analyzing trends, modeling capacity, resolving complex production issues, and maintaining 24x7 mission-critical operations. Provides expert incident response, monitoring, deployment, and operational readiness support while partnering with technology and business teams. Serves as the mainframe performance subject matter expert, drives automation and continuous improvement, mentors colleagues, and informs strategic planning through performance analytics and forecasting.

Provides independent credit adjudication, approval, and risk oversight for financial institution counterparties. Evaluates complex lending, trading-product, derivatives, securities-financing, and counterparty exposures; advises senior leaders; monitors portfolio quality and emerging risks; supports governance, regulatory reviews, and audits; improves credit frameworks and reporting; and mentors team members. Requires deep financial institution underwriting, capital markets risk, regulatory, portfolio management, and stakeholder leadership expertise.

Design, develop, deploy, and lead enterprise Generative AI applications using LLMs, RAG, AI agents, cloud-native architectures, APIs, and microservices. Translate business requirements into secure, scalable solutions; establish reusable AI patterns, governance, and engineering standards; and guide initiatives from concept through implementation. Provide technical leadership, mentor developers, evaluate emerging technologies, optimize performance and cost, and ensure responsible AI, security, privacy, and regulatory compliance.

Leads BMO Capital Markets’ independent first-line control assurance function, setting strategy, methodology, annual planning, quality standards, governance, and reporting. Oversees risk-based testing across operational, regulatory, technology, data, third-party, and resilience controls. Advises executives, regulators, Internal Audit, and risk functions on material weaknesses and remediation, while building organizational capability, managing resources, and sponsoring automation and analytics improvements.

Leads risk-based business control assurance portfolios across Capital Markets. Oversees testing strategy, design and operating effectiveness assessments, evidence review, findings, remediation, reporting and audit readiness. Manages testers and resources, challenges conclusions, identifies systemic control weaknesses, and presents insights to senior stakeholders, risk partners, auditors and regulators. Requires strong knowledge of internal control frameworks, Capital Markets processes, non-financial risk and governance, risk and compliance platforms.

Develop, configure, and support ServiceNow solutions focused on ITSM, AI, GRC/IRM, and enterprise workflow automation. Build workflows, integrations, scripts, applications, service catalog items, and intelligent automation using ServiceNow capabilities. Implement risk, compliance, audit, and vendor-risk solutions; optimize platform performance; support upgrades; and collaborate with architects, stakeholders, and security teams. The role also provides technical leadership, mentoring, documentation, and Agile delivery support.

Leads second-line oversight of enterprise regulatory compliance programs, including risk assessments, monitoring, testing, issue remediation, regulatory change management, governance, and executive reporting. Provides effective challenge to program owners, advises senior leaders on regulatory developments and risks, supports audits and examinations, and drives consistent policies, controls, documentation, and governance practices across the organization.

Designs, builds, and operates secure, scalable cloud-native infrastructure for AI and generative AI workloads. Responsibilities include GPU and Kubernetes platforms, model serving, RAG infrastructure, APIs, microservices, networking, observability, CI/CD, infrastructure as code, security, compliance, and FinOps. The role defines AI cloud architecture and platform standards, leads solution design, operates systems using SRE practices, and mentors engineers. It requires extensive Azure or AWS experience, distributed cloud infrastructure expertise, and hands-on AI/ML platform engineering.

Oversees enterprise operational risk governance, monitoring, reporting, regulatory compliance, and framework development. Advises senior leaders, interprets regulations, manages risk methodologies and controls, leads reporting and governance meetings, supports regulatory audits, and coordinates strategic initiatives and change programs. The role analyzes risk data, maintains RCSA and SOX tools, manages attestations and sign-offs, identifies emerging risks, and recommends improvements to operational risk processes and controls.