Senior Associate

  • 36848
  • Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Feb 19, 2020
Bank or Investment Advisor
RESPONSIBILITIES
  • Take the lead driving Global Asset Management Business Intelligence, managing a team of data analytics professionals.
  • Think strategically and work independently with minimal supervision to drive positive sales results.
  • Work with internal clients and diverse stakeholders to understand their business objectives, scope and KPIs and translate them into digital measurement plans and data collection strategies.
  • Produce dashboards, reports, analysis, insights that drive decisions and help us build better products and experiences.
  • Manage and enhance daily/weekly/monthly channel reporting to provide results and context to deliver actionable insights to senior management, not just reporting data
  • Improve and automate processes using a variety of tools to drive operational efficiency
  • Manage, prioritize, and respond to ad-hoc requests.
  • Uncover and identify opportunities to improve the customer experience by leveraging statistical approaches against multiple sources of data including internal sales/transactions and external party data/benchmarks.
  • Assist the retail and advisor channels in campaign performance measurement and increasing productivity of all marketing initiatives.
  • Research, design and implement reporting infrastructure that leads to automated and flexible reporting.
  • Identify new analytics tools for the institutional channel.
QUALIFICATIONS
  • 5-7 years of work experience in Business, Financial industry.
  • Strong verbal and written communication skills; able to effectively present complex data and concepts in a simplified manner.
  • Good knowledge of Financial Services and understanding of current market trends. Experience in Mutual Funds, ETF and Institutional distribution process a plus.
  • Demonstrated proficiency in working with large datasets, both structured and unstructured data, using programming language such as SAS, SQL or related.
  • Post-Secondary education in Math, Computer Science, Statistics, Actuarial Science, Business.
  • One or More Master's Degree in Data Analytics, MBA, CFA, CPA preferred.
  • Self-Starter - Strong relationship-building skills. Ability to thrive on a high-degree of independence and ownership.
  • Proficient in visualization tools such as Spotfire, Tableau or Power BI.
  • Experience in running campaigns through design, execution and performance tracking.
  • A strong passion for data, charts, analysis, trends, and evangelizing data usage.