Top Tech Jobs & Startup Jobs in Toronto

Reviews, prepares, settles, and processes taxation filings for client estate accounts. The specialist handles journal processing, tax document issuance, inquiries, escalations, service-level deadlines, and operational backlogs. The role maintains estate procedures and regulatory checklists, monitors MFDA, IIROC, CRA, and trustee requirements, supports the Estates Contact Centre, and recommends process improvements. Bilingual English and French communication, financial-industry experience, accuracy, organization, and strong customer service are required.

Manages the full lifecycle of sales compensation programs, including incentive plan design, modeling, implementation, administration, governance, analytics, reporting, and communications. Ensures accurate commission payouts, regulatory compliance, and effective controls while advising Sales, Finance, People, and senior leadership. The role also leads continuous improvement, market benchmarking, compensation policy development, stakeholder engagement, and compensation technology enhancements.

Lead the Advisor Hub product family and own Advisor Hub ACP, setting product direction, outcomes, priorities, and release plans. Conduct customer discovery, use data to guide decisions, and partner with design and technology leaders to deliver incremental value. Manage and coach three Product Owners, collaborate across compliance, finance, marketing, operations, and technology, and champion Aviso’s customer-centric product model.

Investigate suspected fraud and anti-money laundering risks, review alerts and client activity, monitor high-risk clients, maintain case files, prepare investigation reports and regulatory filings, remediate suspicious activity, and improve compliance controls. The role also provides AML and fraud guidance to stakeholders and supports broader compliance initiatives within a wealth management environment.

Leads manager research and oversight for NEI Investments and the Managed Asset Program, including manager selection, due diligence, sub-advisor oversight, performance evaluation, and investment recommendations across public, private, and alternative markets. Directs a research team, develops analytical capabilities, oversees external manager relationships, improves research frameworks, and provides investment insights to senior leaders, clients, and sales teams.

Leads the Sales Associate team, overseeing daily performance, recruiting, onboarding, coaching, process improvements, reporting, and sales support operations. Coordinates national sales events, manages logistics and analysis, presents performance updates to senior management, and collaborates with sales, marketing, and service teams. The role requires strong organizational, communication, customer service, reporting, and financial-industry knowledge.

Leads Senior Relationship Managers and manages a portfolio of high- and ultra-high-net-worth clients. Drives client loyalty, asset growth, business development, strategic planning, service excellence, and sales culture across the Priority Clients team. Provides wealth management guidance, oversees budget and team direction, collaborates with internal partners, monitors market and regulatory trends, and champions improvements to digital brokerage capabilities and client engagement.

Processes and reports Canadian and U.S. corporate actions, including reorganizations, offers, name changes, entitlements, tax treatment, and dividend reinvestment plans. The role coordinates depository bulletins, maintains procedures and controls, resolves discrepancies, supports clients, and contributes to process improvements. Strong accuracy, analytical, organizational, communication, and customer service skills are required, along with two years of related experience. Completion of the Canadian Securities Course is an asset.

Build and standardize ML and AI platform patterns to move models from experimentation to production. Implement MLOps/LLMOps practices (Databricks, AWS, MLflow), deployment templates, monitoring, evaluation, governance, and secure serving. Partner with Data Engineering and Governance to version, monitor, and govern models, prompts, agents, and data products while managing cost, performance, reliability, and operational risk.

Design, build, and deploy scalable, secure data solutions on-premise and in Azure. Collaborate with engineering, security, and ops to implement modern data practices (Databricks, Snowflake, Python, SQL), produce solution designs, support project delivery, and promote DevSecOps and cloud best practices.