Nasdaq

Dublin, Dublin, IRL
4,798 Total Employees

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Nasdaq Career Growth & Development

Updated on November 13, 2025

This page was generated by Built In using publicly available information and AI-based analysis of common questions about the company. It has not been reviewed or approved by the company.

What's career growth & development like at Nasdaq?

Extensive learning infrastructure and globally consistent career frameworks are paired with systems that support movement across roles. At the same time, advancement is contingent on openings and competitive selection and can vary by career family, suggesting growth depends on timing and fit despite strong development scaffolding.
Positive Themes About Nasdaq
  • Internal Mobility: The company emphasizes promoting from within and supports movement across teams through structured systems like its global myCareer framework. Employee networks and rotation programs further enable transitions aligned to business needs and evolving skills.
  • Training & Education Access: Development follows a 70/20/10 model with extensive access to blended learning, mentoring, and formal courses. Specialized offerings such as Education & Learning Services for platform solutions and the Derivatives Academy provide additional, role-relevant training.
  • Career Path Clarity: The myCareer system maps roles and career paths globally with specific advancement guidelines available to employees and HR partners. A global review process is in place to assess promotions against defined criteria.
Considerations About Nasdaq
  • Limited Mobility: Promotion decisions depend on the availability of open roles and competitive selection among candidates. Meeting all role requirements alone does not result in advancement, which can constrain movement despite readiness.
  • Unclear Advancement: Progression potential varies by career family, and some paths may require moving to a different track to advance. The variability in path dynamics can make next steps less straightforward even with defined guidelines.
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The insights on this page are generated by submitting structured prompts to some of the most popular large language models (“LLMs”) and summarizing recurring themes from the responses. Because the insights are generated using AI, they may contain errors. The insights do not necessarily reflect internal data, employee interviews, or verified company information. They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers. These insights are intended for informational purposes only and should not be interpreted as a factual or definitive assessment of a company's reputation. Built In makes no representations or warranties regarding the accuracy, completeness, or reliability of this information, and disclaims any liability for any actions taken based on this information. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.
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