Top Tech Jobs & Startup Jobs in Toronto

Coordinate the onboarding, operational setup, launch, and restructuring of investment funds across global markets. Manage relationships with custodians, prime brokers, trading counterparties, and internal stakeholders; oversee KYC/AML, account documentation, legal agreements, and operational requirements. Track transition plans, deliverables, meetings, reporting, and project documentation using Smartsheet, SharePoint, and S&P Global Counterparty Manager while managing multiple priorities and deadlines.

Oversee operations for a global pooled fund platform, including NAVs, expenses, accruals, distributions, regulatory filings, fund launches and restructures. Maintain fund data trackers, prepare reporting and board or audit deliverables, monitor eligibility and tax compliance, coordinate with custodians and administrators, support investor inquiries, and assist with fee modeling, performance analysis, due diligence, and strategic platform initiatives.

Lead large-scale enterprise business transformation initiatives from conception through operational handover. Manage cross-functional project teams, assess opportunities, advise on strategic decisions, coach project leaders, oversee data migration and platform modernization efforts, and ensure business outcomes. The role also requires stakeholder management, conflict facilitation, strategic planning, communication, and adapting project practices to changing organizational needs.

Provides Tier 1 and Tier 2 technical support for local and remote users, troubleshooting devices, applications, connectivity, and Microsoft technologies. Maintains technical documentation and knowledge articles, develops user training materials, coordinates issue resolution, and escalates incidents appropriately. Supports service improvement, operational efficiency, and IS projects while maintaining strong customer service and incident documentation.

Analyzes investment operations processes, identifies automation opportunities, translates business needs into requirements and future-state designs, and develops or supports solutions using Microsoft Power Platform, Fabric, Power BI, Python, and related tools. The role manages testing, documentation, implementation, production support, controls, governance, stakeholder collaboration, and user education while improving efficiency and reducing operational risk.

Leads an Investment Insights team creating analytics that improve investment manager effectiveness. Responsibilities include designing and developing investment analytics, researching methodologies, working with portfolio managers, productionizing solutions, applying AI, resolving complex analytical issues, and managing analysts across Canada and India. The role also shapes strategic priorities, develops team capabilities, mitigates process risks, and communicates technical concepts to varied stakeholders.

Designs and manages scalable data integration pipelines, governance controls, semantic enrichment, and orchestration systems for enterprise AI and analytics. Builds real-time data flows, APIs, connectors, RAG and embedding pipelines, vector database integrations, monitoring, audit trails, and AI guardrails. Partners with engineers, governance teams, and business stakeholders to make enterprise data secure, explainable, reusable, and ready for agentic AI workflows.

Build and operationalize an investment constraints governance framework, including processes, controls, workflows, documentation, and lifecycle oversight. Partner with compliance, front-office, legal, product, operations, and technology teams to translate requirements into scalable solutions. Lead process improvement, automation, reporting, testing, implementation, and change management initiatives using Power Automate, Power BI, and Microsoft Power Platform. Support governance metrics, operational efficiency, risk initiatives, and continuous improvement across Portfolio Compliance.

Maintains and validates performance, attribution, and risk analytics across systems; investigates data-quality exceptions; manages scheduled analytics processes; improves automation and scalability; strengthens analytics governance and controls; identifies and mitigates process risks; and serves as an analytics subject-matter expert and escalation point.

Process and validate institutional investment cash flow instructions, perform reconciliations and quality controls, identify operational risks, and improve automated workflows. The role serves as an operational contact for internal and external stakeholders and supports scalable portfolio operations through data, automation, and cross-functional collaboration.