Global X ETFs
As of 30 October 2026, Global X ETFs has 7 open roles (2 new in 30 days), its finance & accounting team is hiring most, and its postings name Bloomberg Terminal, Python and FactSet as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- New York, New York, United States
- Employees
- 201-500 employees (linkedin)
- Sells to
- investors, institutional investors, retail investors
- Certifications on site
- Site languages
- EN
- Career system
- Ashby
Global X ETFs in one screen
Read from globalxetfs.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Global X ETFs is an investment service provider that offers exchange-traded funds (ETFs) across thematic growth, income, commodities, and international access categories for investors. Its lineup includes more than 110 ETFs, such as the Nasdaq 100 Covered Call ETF, Artificial Intelligence & Technology ETF, and Uranium ETF. The company also provides model portfolios and research insights.
Named on the site: investors, institutional investors, retail investors.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 568 scored.
What Global X ETFs says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Conduct quantitative analyses in Excel using third-party platforms like Bloomberg, Morningstar, and FactSet.Write production dbt models in Python and SQL, and design the serving and semantic layers.• Conduct quantitative analyses in Excel using third-party platforms like Bloomberg, Morningstar, and FactSet.• Conduct quantitative analyses in Excel using third-party platforms like Bloomberg, Morningstar, and FactSet.Write production dbt models in Python and SQL, and design the serving and semantic layers.
Snowflake, dbt, Sigma, MWAA / Airflow, AWS (S3, Lambda), GitHub Enterprise, Terraform; Bloomberg and FactSet; Okta for identity; and Claude Enterprise, Claude Code, Kiro, and AWS Bedrock for AI-assisted engineering.
Snowflake, dbt, Sigma, MWAA / Airflow, AWS (S3, Lambda), GitHub Enterprise, Terraform; Bloomberg and FactSet; Okta for identity; and Claude Enterprise, Claude Code, Kiro, and AWS Bedrock for AI-assisted engineering.• AWS and Terraform / infrastructure-as-code; experience standing up data governance in a regulated environment.Snowflake, dbt, Sigma, MWAA / Airflow, AWS (S3, Lambda), GitHub Enterprise, Terraform; Bloomberg and FactSet; Okta for identity; and Claude Enterprise, Claude Code, Kiro, and AWS Bedrock for AI-assisted engineering.Snowflake, dbt, Sigma, MWAA / Airflow, AWS (S3, Lambda), GitHub Enterprise, Terraform; Bloomberg and FactSet; Okta for identity; and Claude Enterprise, Claude Code, Kiro, and AWS Bedrock for AI-assisted engineering.Snowflake, dbt, Sigma, MWAA / Airflow, AWS (S3, Lambda), GitHub Enterprise, Terraform; Bloomberg and FactSet; Okta for identity; and Claude Enterprise, Claude Code, Kiro, and AWS Bedrock for AI-assisted engineering.• Expert SQL and Python; production experience with Snowflake and dbt (or close equivalents).
• Modern-stack depth: data catalog (e.g., OpenMetadata, Atlan), orchestration (Airflow / MWAA), managed ingestion, BI (Sigma), Snowflake Cortex and semantic views.• Modern-stack depth: data catalog (e.g., OpenMetadata, Atlan), orchestration (Airflow / MWAA), managed ingestion, BI (Sigma), Snowflake Cortex and semantic views.Vendors whose code loads on globalxetfs.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
7 open roles, 7 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring finance & accounting in United States →
| open · new 30 d | |
|---|---|
| Finance & accounting | 3 · 0 |
| Product, program & project management | 3 · 2 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Global X ETFs to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Global X ETFs
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 568 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Global X ETFs (New York, United States, 201-500 employees) has 7 open roles, 2 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/globalxetfs.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from globalxetfs.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ashby career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Global X ETFs: questions
Does Global X ETFs use Bloomberg Terminal?
Yes, by the company's own words: 6 postings name it, first seen 2026-09-16, in the product, program & project management team.
Is Global X ETFs hiring?
7 open roles as of 30 October 2026, 2 opened in the last 30 days and 0 closed. The largest team hiring is finance & accounting.
Where does this profile come from?
From globalxetfs.com itself: we crawled it on 2026-09-06, built the profile on 2026-09-12, and read its career site (Ashby) hourly since. Headcount is from LinkedIn.
Who should I write to at Global X ETFs?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 2 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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