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Wealth Analytics Specialist

2 months ago


Old Toronto, Ontario, Canada TD Full time
About the Role

We are seeking a highly motivated and detail-oriented Wealth Analytics Specialist to join our team at TD. As a key member of our Wealth Data, Analytics & Reporting team, you will play a critical role in driving business growth and making informed decisions through data-driven insights.

Key Responsibilities
  1. Data Science and Advanced Analytics: Participate in projects that support a broad range of data-driven solutions by applying various techniques to build out models. Work with structured and unstructured data, preparing data sets for machine learning through integration, cleaning, feature engineering, scaling, and transforming data.
  2. Business Insight Analysis: Support the team by providing analytics and insights to recommend actions that will enable optimal business decisions and resolve complex business problems. Identify opportunities to drive business growth and value.
  3. Visualization: Provide data visualization support by employing various techniques to support the business in interpreting information and communicating implications and/or recommendations to the business.
  4. Business Intelligence: Design and develop dashboards and scorecards to support business needs, ensuring alignment of metrics across the organization.
  5. Data Management: Participate in projects by analyzing approaches, processes, and tools to support the business data strategy.
  6. Data Governance: Responsible for improving the trust in our data through the management of integration, availability, usability, quality, integrity, and security of bank data.
  7. Targeted Deliverables: Participate as part of a team working on initiatives designed to improve decisions, processes, systems, and applications that support our key businesses.
Requirements
  • Currently enrolled in a recognized undergraduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Data Analytics, or related, with the intent of going back to school at the start of your work term.
  • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment. Experience presenting in front of big crowds/senior leadership is a plus.
  • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
  • Experienced in one or more of: Big Data - Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation; Machine Learning - Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
  • Reading and comprehending data schemas, metadata, entity relationship diagrams, and other technical documentation.
  • Technical knowledge or experience with Cloud environments (MS Azure is a plus) as well as experience with Data Management.
  • Strong technical knowledge and experience with one or more of: Python, Spark/PySpark, SQL, Alteryx or Tableau.
  • Experience with Data Management, Analytics, and Project Management is a plus.
  • Strong statistical and analytical skills as well as a passion for analytics are necessary.
About TD

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve.