Developer, Business Innovation & Transformation, Wealth Operations

TD•Toronto, ON

11d•CA$69,700 - CA$98,400•Onsite

About The Position

TD Wealth Operations is part of Wealth Shared Services and is the operational engine of TD Wealth, acting as a centre of excellence for core processes that underpin key moments in our clients' relationship with the Wealth business, including onboarding, transfer services, trade and cash management processing, and delivering client statements and communications. Wealth Operations supports all TD Wealth distribution channels, TD Mutual Funds, TD Asset Management, and TD Securities. TD Wealth Operation's goal is to be recognized as an industry leader in Operational Excellence by delivering best in class client, colleague, and partner experiences. Reporting to the Manager, Business Innovation & Transformation (BI&T) within Wealth Operational Excellence and Project Chassis, this role supports tasks related to automation, ideation of new tools and technologies, building Proof of Concepts, managing End-User-Computing objects (EUCs) and Robotics Process Automation (RPA), and leading projects for Wealth Operations. The ideal candidate will be proactive, skilled in problem-solving, and possess strong communication abilities. Responsibilities include developing/ maintaining existing automation assets built in VBA/Python/PowerBI, support data-driven solutions, documenting processes, ensuring data governance, and risk management practices. This role offers opportunities to make a significant impact on Wealth Operations while enhancing existing skills and acquiring new ones.

Requirements

A Bachelor’s degree in Computer Science or a related field is preferred.
4-6 years of experience in a similar role within Wealth Operations or a related area.
Knowledge of VBA, Excel, Python/PySpark, Databricks, MS Access, JIRA, Confluence; experience with Alteryx, PowerBI and Tableau is advantageous.
Proven ability to document processes, map workflows, and translate business needs into technical solutions.
Excellent communication and collaboration skills.
Proactive and analytical thinker with a continuous improvement mindset.
Experience in Reporting, Data and Risk Governance or related roles in Business, Governance, Risk and Controls is beneficial.

Nice To Haves

Migration of legacy code to Python/Databricks/PySpark is valuable.
Experience with Alteryx, PowerBI and Tableau is advantageous.
Experience in Reporting, Data and Risk Governance or related roles in Business, Governance, Risk and Controls is beneficial.

Responsibilities

Ensure timely and within scope delivery of outcomes.
Effectively communicate project status and promptly escalate issues to meet timelines and objectives.
Lead, motivate, and cultivate relationships with Wealth Operations pillars to foster collaborative success.
Develop documentation for requirements, process changes, solutions, and best practices to maintain consistency across the team.
Develop and optimize processes using Excel VBA for enhanced operational efficiency.
Troubleshoot existing complex VBA code used for automation of operational processes.
Experience writing code in Python/Databricks/PySpark, with the ability to troubleshoot solutions. Migration of legacy code to these tools is valuable.
Proficiency in platforms like Power Pivot, Power Query, Power BI, Tableau, and Power Platform for automating and simplifying processes.
Experience in reporting and advanced data analysis techniques to derive insights and create meaningful visualizations.
Familiarity with automation frameworks to reduce manual effort and mitigate risks.
Analyze problems and create innovative solutions to enhance operational efficiency.
Conduct technical analysis on EUCs/RPAs, offering insights and recommendations for improvement.
Critical thinking to spot inefficiency or risk.
Proactive problem-solving to enhance operations.
Enforce data governance and risk management best practices as directed by the EUC Governance Lead.
Coordinate with Wealth Operations teams to share knowledge on data access, controls, management, and automation tools.
Strong verbal and written communication skills to effectively present complex data-driven insights to non-technical stakeholders.
Curiosity to explore new technologies, methodologies, and approaches to transform business operations.