Senior Equities Product Leader – Hybrid in Toronto

Senior Equities Product Leader – Hybrid in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the creation of innovative investment intelligence products and analytics.
  • Company: Join Nasdaq, a global leader in financial markets and technology.
  • Benefits: Enjoy a hybrid work model, competitive salary, and growth opportunities.
  • Other info: Collaborative environment with a focus on innovation and market leadership.
  • Why this job: Shape the future of finance with cutting-edge technology and impactful products.
  • Qualifications: Experience in product management and proficiency in data-driven tools.

The predicted salary is between 135000 - 165000 $ per year.

Nasdaq is seeking a Senior Specialist in Equities Product Management, reporting to the Sr.

Director, to shape next-generation investment intelligence products and analytics that power global markets and client workflows.

The role is based in Toronto with a hybrid work arrangement (in-office at least 3 days a week).

You will own the full lifecycle from ideation to launch, collaborate with Sales, Marketing, Legal and Engineering, and leverage Databricks, SQL, Python and APIs to build prototypes

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Senior Equities Product Leader – Hybrid in Toronto employer: nasdaq

At Nasdaq, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Specialist in Software Development, you'll enjoy a hybrid work environment in Toronto, competitive compensation, and comprehensive benefits, all while contributing to a platform that impacts millions of investors globally. We are committed to your professional growth, providing opportunities for mentorship and leadership within a diverse and inclusive workplace.

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Contact Details:

nasdaq Recruitment Team

We think you need these skills to ace Senior Equities Product Leader – Hybrid in Toronto

Equities Product Management
Investment Intelligence
Analytics
Collaboration
Databricks
SQL
Python