Top Tech Jobs & Startup Jobs in Toronto

Leads a complex Internal Audit function focused on Finance Controllers, SOX, SEC reporting, accounting policy, reconciliations, controls, and financial reporting. Manages audit professionals across locations, budgets, stakeholder relationships, regulatory issue validation, governance reporting, risk assessments, and control remediation. Advises senior Finance and business leaders on initiatives, develops audit approaches, addresses emerging risks, and drives continuous improvement in audit tools and techniques.

Provides technical and business support for Citi applications, troubleshooting production incidents, monitoring systems, managing incidents and changes, and coordinating with users, technology teams, vendors, and developers. Responsibilities include application releases, disaster recovery testing, post-release validation, documentation, root-cause analysis, risk assessment, security issue identification, and support process improvements. The role requires database, middleware, networking, cloud, scripting, monitoring, and ITSM expertise, along with financial markets awareness and strong communication skills.

Provides technical and business support for Citi applications in production. Responsibilities include monitoring, troubleshooting, risk reconciliation, incident escalation, documentation, application releases, contingency planning, stability improvements, and coordination with users, developers, vendors, and technology teams. The role also supports risk management, security issue identification, service-level adherence, and coaching junior analysts while independently managing complex application-support problems.

Design, develop, and deploy AI-powered applications, agentic workflows, RAG solutions, and intelligent automation for regulated financial services. Build data pipelines, APIs, microservices, and production-grade AI components using Python, SQL, and cloud technologies. Integrate LLMs and machine learning models, ensure data quality and governance, collaborate with cross-functional teams, research emerging AI capabilities, and document technical implementations.

Build and maintain full stack risk and finance applications using Java and React. Design scalable backend services, responsive interfaces, event-driven microservices, and technical architecture supporting financial risk, stress testing, and regulatory reporting. Lead workstreams, establish development standards, mentor engineers, and collaborate with Risk, Finance, Front Office, regulators, and global stakeholders. The role requires enterprise application development across complex codebases, databases, cloud platforms, CI/CD, and high-volume data processing systems.

Leads performance engineering and non-functional testing for complex applications across multiple business lines. Owns testing strategy, planning, execution oversight, metrics, risk management, monitoring, profiling, bottleneck analysis, and tuning recommendations. Partners with development, architecture, business, and production teams; manages and mentors performance engineers and testers; develops test artifacts and frameworks; and drives continuous process improvement and automation.

Prepares, analyzes, and submits financial and regulatory reports to regulators and senior stakeholders. Supports period-end close, reconciliations, adjustment entries, financial consolidation, variance analysis, internal controls, process improvements, and data-quality initiatives. Interprets accounting policies, resolves complex transactions, monitors remediation metrics, and escalates control issues. The role operates with limited supervision and serves as a subject matter expert while ensuring compliance with US GAAP, US regulatory, and local statutory reporting requirements.

Develop and deploy enterprise applications using Java, Spring, Kafka, Angular, and React.js. Build AI-enabled features, manage MongoDB and Oracle data, write tested code, participate in Agile delivery and code reviews, and contribute to Kubernetes-based DevOps practices. The role also includes mentoring engineers, providing technical guidance, and collaborating with front-office financial technology teams.

Leads enterprise data privacy product discovery, governance, and engineering initiatives. Responsibilities include build-versus-buy evaluations, integration architecture, product backlog management, privacy automation, SaaS vendor governance, and translating privacy regulations into technical requirements. Partners with architecture, security, and engineering teams to deliver secure APIs, data workflows, identity integrations, and privacy-enhancing technologies across cloud and hybrid environments.

Leads multiple engineering teams developing and scaling AI and machine learning solutions, including LLM and RAG architectures. Provides hands-on Java and Python technical direction, defines engineering standards, manages hiring and performance, oversees budgets and resource allocation, resolves complex issues, and aligns delivery with senior stakeholders. The role requires expertise in LLMs, NLP, machine learning frameworks, Docker, and Kubernetes, with preferred experience in document digitization, cloud AI services, and legacy modernization.