<p><strong>Client Operations Specialist</strong></p><p><strong>Toronto, ON | Hybrid (4x a week in office)</strong></p><p><strong>Base salary: $70,000-$80,000</strong></p><p><strong>The Opportunity</strong></p><p>Our client, a growing and well-established investment management firm, is seeking a <strong>Client Operations Specialist</strong> to join their team. This role plays a critical part in supporting the full client lifecycle, ensuring seamless execution of account activity, operational accuracy, and regulatory compliance.</p><p>You will act as a key liaison across Client Relations, Portfolio Management, custodians, and internal teams, helping to deliver a high-touch client experience while maintaining strong operational controls.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Manage day-to-day client account operations including deposits, withdrawals, transfers, and account updates</li><li>Coordinate incoming/outgoing asset transfers, account closures, and client offboarding processes</li><li>Administer fee structures, including setup, adjustments, and account closing fees</li><li>Set up and maintain recurring payment schedules (e.g., RRIF/LIF distributions)</li><li>Monitor account liquidity and partner with trading teams to support cash requirements</li><li>Maintain accurate client records and distribution lists to support reporting and communications</li><li>Assist in the preparation and delivery of client reporting, including statements and tax documentation</li><li>Support onboarding, KYC/AML updates, and ongoing regulatory documentation requirements</li><li>Liaise with custodians and internal stakeholders to resolve operational inquiries and ensure timely execution</li><li>Identify opportunities to enhance processes, controls, and overall operational efficiency</li></ul>
We are looking for an experienced Analytics Engineer to join our team on a long-term contract basis in Mississauga, Ontario. This role involves leveraging data architecture and analytics expertise to enhance our processes and provide valuable insights for the organization. The position offers a hybrid work environment and an opportunity to contribute to meaningful data-driven projects.<br><br>Responsibilities:<br>• Develop and maintain data architectures to support analytics and reporting initiatives.<br>• Leverage Python programming to analyze, process, and structure complex datasets.<br>• Collaborate with data engineers to integrate allergen information into consumer-facing systems.<br>• Design and optimize SQL queries for efficient data retrieval and manipulation.<br>• Participate in technical interviews and contribute to hiring processes within the team.<br>• Use analytical tools to identify trends and insights that drive business decisions.<br>• Learn and adapt to niche tools and technologies as required by the organization's needs.<br>• Ensure data accuracy and consistency across various systems and platforms.<br>• Work in a hybrid environment, balancing onsite and remote responsibilities effectively.
