Data-Driven Operations Analyst – Client Enablement

TD Securities Inc.; Toronto; Sur place; CAD 60 000 - 84 000; Plein temps

Résumé du poste

TD Securities is seeking a driven data operations professional in Toronto to ensure data integrity across trading, settlement, and risk systems. You will own and validate critical data flows, support multiple teams, and drive data quality improvements in a fast-paced environment.

The role emphasizes collaboration with senior stakeholders, operational risk management, and continuous process enhancements. A strong grasp of capital markets data and proficiency with Excel/SQL are valued.

Qualifications

• University or college degree with relevant experience.
• Ability to connect day-to-day operational activities with broader business objectives.
• High accuracy in managing data and executing daily and repetitive operational tasks, ensuring operational excellence.
• Ability to clearly articulate issues and solutions with internal stakeholders, fostering collaboration across departments.
• Foundational knowledge of Capital Markets operations and how various data points flow through interconnected systems is an asset.
• A self-starter with a proactive approach to learning and driving improvements, eager to contribute to broader strategic goals.
• Proficiency in data management tools (e.g., Excel, SQL), with a strong capacity to analyze data, identify trends, and highlight discrepancies is an asset.
• Familiarity with robotic process automation (RPA) such as UI Path and Alteryx, and an ability to assist in system testing and data reconciliation processes is preferred.
• Experience or understanding of operational risk and process improvement initiatives are an asset.
• Demonstrate strong organizational, planning and time management skills.
• Ability to deliver legendary service while adhering to strict deadlines in a fast-paced work environment.
• Prior client setup and SSI knowledge is an asset.

Responsabilités

• Enable clients in TD Securities book of record systems to facilitate trading and settlement. Own and manage business as usual processes associated with these systems, ensuring accuracy and alignment with operational needs of the business.
• Act as an SME for Client Static and SSI Data across multiple TDS Platforms, establishing a deep understanding of end to end product set up.
• Lead daily operational tasks, ensuring timely and accurate data validation, data entry, reconciliation, and reporting.
• Understand and maintain automated solutions and bulk data setup capabilities that are utilized to meet the growing demands of the business and perform critical data integrity checks across systems.
• Achieve an exceptional standard of error free processing by ensuring accurate inputting of data to mitigate risk to TD.
• Respond and resolve customers' concerns using standard procedures and escalating non-standard activities, as necessary.
• Collaborate with internal stakeholders, including senior leadership and Sales and Trading to review trade settlements, client reporting, and compliance activities and challenges.
• Play a key role in identifying and resolving operational risks through careful data analysis and proactive troubleshooting.
• Continuously identify and implement improvements in existing processes to drive efficiency and effectiveness within the operations function.
• Act as a lead for testing, verification, and implementation of system updates and enhancements to ensure alignment with the Bank’s operational strategy.
• Undertake project tasks as required and ensuring project deadlines are met.
• Help build a positive, diverse and equitable work environment by promoting team effectiveness.

Connaissances

Data management

Excel

SQL

RPA (UI Path)

Alteryx

Capital markets

Data validation

Operational risk

Client setup

SSI knowledge

Formation

University or college degree

Outils

Excel

SQL

Description du poste

TD Securities is seeking a driven data operations professional in Toronto to ensure data integrity across trading, settlement, and risk systems. You will own and validate critical data flows, support multiple teams, and drive data quality improvements in a fast-paced environment.

The role emphasizes collaboration with senior stakeholders, operational risk management, and continuous process enhancements. A strong grasp of capital markets data and proficiency with Excel/SQL are valued.