Webull
Marketing Associate (Webull Canada)
Toronto, Canada
Sponsorship not specified$75k-$85kDetected 25 days ago
Adobe Creative SuiteProject ManagementEmail MarketingMarketing AnalyticsGoogle AnalyticsCRMExcelCommunicationCollaborationMentoringAdaptabilityOrganizational SkillsMicrosoft Office
About the role
- Our vision has always been to empower individual investors with the tools and resources they need to succeed financially.
- This individual will play a key role in supporting Webull's continued growth in the Canadian market by driving data-informed marketing initiatives and delivering measurable business impact.
- The ideal candidate is a curious, data-driven marketer who thrives in fast-paced environments, isn't afraid to roll up their sleeves, and can balance strategic thinking with hands-on execution across campaigns, channels, and content.
Responsibilities
- Team Webull Securities (Canada) Ltd. provides a mobile-first investing platform designed for today's retail investors.
- As a global fintech company entering an exciting new phase of growth in Canada, our mission goes beyond launching a product, it is to build a trusted financial partner for Canadian investors.
- Develop and execute integrated marketing campaigns across multiple channels, including email, app banners & push notifications, paid media, social, and digital marketing ecosystems.
Compensation
- $75k-$85k
Benefits
- Write and edit compelling, benefit-driven marketing copy for landing pages, email campaigns, customer communications, digital ads, and promotional content.
Company info
- At Webull, we believe that everyone should have an
- This commitment remains at the heart of everything we do.
- From low-fee trading and robust market data to advanced analytical tools, we are committed to providing a seamless, top-tier trading experience.
- We are seeking a Marketing Associate to join our growing team in Toronto.
Equal opportunity
- equal opportunity to control their own financial future.
This listing is sourced directly from Webull's careers page and normalized into a canonical job model.