Nasdaq Visa Sponsorship USA
Nasdaq is a global technology and financial infrastructure company best known for operating one of the world's leading stock exchanges. It sponsors both H-1B and employment-based Green Cards, making it a meaningful option for international professionals in financial technology, data, and software engineering roles.
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Get Access To All JobsABOUT OUR INTERNSHIP PROGRAM
Nasdaq’s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business.
We believe the best way to learn is by doing — that’s why you’ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You’ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program.
Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys.
ROLE
We are seeking a motivated and curious Data Science Summer Intern to join our team and contribute to impactful, data-driven projects. In this role, you will work alongside an experienced Research & Development team to analyze large datasets, build predictive models, and develop actionable insights using tools such as Python, R, or SQL. This is an excellent opportunity for a student pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in a fast-paced, collaborative environment.
At Nasdaq, you’ll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you’ll support [team/business area] and gain hands-on experience with [specific products/projects/clients].
You don’t need to know everything on day one — we’ll help you build the skills, confidence, and network to grow your career.
WHAT YOU’LL DO
- Support the R&D team with day-to-day analytical tasks and contribute to ongoing modeling and research initiatives
- Learn how to build, validate, and deploy machine learning models using industry-standard tools such as Python, SQL, and cloud-based platforms.
- Collaborate with teammates across Product, Sales and Data Operations to deliver end-to-end data solutions.
- Bring your ideas and curiosity to real-world problem-solving by exploring datasets, identifying trends, and presenting findings to stakeholders
- Develop your technical and professional skills through hands-on project work, code reviews, and mentorship from experienced data scientists.
WHAT YOU’LL BRING
- Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- Foundational knowledge of programming languages such as SQL, Python or R, with exposure to data manipulation, Large Language Models and exploratory data analysis
- Eagerness to learn, ask questions, and apply academic knowledge to real-world data challenges in a professional setting
- Ability to think analytically and communicate findings clearly to both technical and non-technical audiences.
- Curiosity about machine learning, artificial intelligence, and the role of data in driving business decisions.
NICE-TO-HAVE
- Project experience related to data science, machine learning, or statistical analysis, such as academic research, data competitions, or personal data projects.
- Involvement in student organizations, hackathons, volunteering, or leadership roles that demonstrate initiative, teamwork, and a passion for data and technology
- Familiarity with specific tools or technologies such as PowerBI, Snowflake, Databricks, Fabric, AWS
LOCATION
This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
ABOUT OUR INTERNSHIP PROGRAM
Nasdaq’s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business.
We believe the best way to learn is by doing — that’s why you’ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You’ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program.
Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys.
ROLE
We are seeking a motivated and curious Data Science Summer Intern to join our team and contribute to impactful, data-driven projects. In this role, you will work alongside an experienced Research & Development team to analyze large datasets, build predictive models, and develop actionable insights using tools such as Python, R, or SQL. This is an excellent opportunity for a student pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in a fast-paced, collaborative environment.
At Nasdaq, you’ll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you’ll support [team/business area] and gain hands-on experience with [specific products/projects/clients].
You don’t need to know everything on day one — we’ll help you build the skills, confidence, and network to grow your career.
WHAT YOU’LL DO
- Support the R&D team with day-to-day analytical tasks and contribute to ongoing modeling and research initiatives
- Learn how to build, validate, and deploy machine learning models using industry-standard tools such as Python, SQL, and cloud-based platforms.
- Collaborate with teammates across Product, Sales and Data Operations to deliver end-to-end data solutions.
- Bring your ideas and curiosity to real-world problem-solving by exploring datasets, identifying trends, and presenting findings to stakeholders
- Develop your technical and professional skills through hands-on project work, code reviews, and mentorship from experienced data scientists.
WHAT YOU’LL BRING
- Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- Foundational knowledge of programming languages such as SQL, Python or R, with exposure to data manipulation, Large Language Models and exploratory data analysis
- Eagerness to learn, ask questions, and apply academic knowledge to real-world data challenges in a professional setting
- Ability to think analytically and communicate findings clearly to both technical and non-technical audiences.
- Curiosity about machine learning, artificial intelligence, and the role of data in driving business decisions.
NICE-TO-HAVE
- Project experience related to data science, machine learning, or statistical analysis, such as academic research, data competitions, or personal data projects.
- Involvement in student organizations, hackathons, volunteering, or leadership roles that demonstrate initiative, teamwork, and a passion for data and technology
- Familiarity with specific tools or technologies such as PowerBI, Snowflake, Databricks, Fabric, AWS
LOCATION
This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Job Roles at Nasdaq Companies
How to Get Visa Sponsorship in Nasdaq Visa Sponsorship USA
Target technology and engineering roles
Nasdaq's sponsorship activity is concentrated in technical functions that power its financial infrastructure. Software engineers, data scientists, and platform architects are among the strongest fits for H-1B sponsorship within the company's hiring patterns.
Understand Nasdaq's dual sponsorship track
Nasdaq sponsors both H-1B and employment-based Green Cards, which means strong performers can pursue a long-term immigration path. When evaluating offers, ask recruiters directly whether the role has historically supported Green Card sponsorship.
Apply ahead of the H-1B registration window
H-1B petitions are tied to the April lottery cycle. To be considered, you need a full offer in place well before March. Begin your Nasdaq job search in the fall or early winter to align with that timeline.
Emphasize specialty occupation credentials
Nasdaq operates in Banking and Financial Services, where roles require deep domain expertise. Highlight degree alignment and specialized skills in your application. The stronger your specialty occupation case, the smoother the H-1B petition process.
Use a platform built around sponsorship verification
Not every Nasdaq role will come with sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, saving you from applying to roles where support is unavailable before you invest time in the process.
Prepare for a structured interview process
Nasdaq runs a multi-stage interview process typical of large financial technology firms. Demonstrating technical depth alongside an understanding of capital markets and exchange infrastructure will set you apart from candidates without that domain context.
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Get Access To All JobsFrequently Asked Questions
Does Nasdaq sponsor H-1B visas?
Yes, Nasdaq sponsors H-1B visas. The company has a consistent track record of supporting international professionals in technical and financial roles. Sponsorship is most common in software engineering, data infrastructure, and financial technology functions. If you're pursuing an H-1B, confirm sponsorship availability with the recruiter early in the process, as not every open role will include it.
What visa types does Nasdaq sponsor?
Nasdaq sponsors both H-1B visas and employment-based Green Cards, including EB-2 and EB-3 categories. This means international employees who join on an H-1B may have a pathway to permanent residency over time. Availability depends on the role, department, and your individual immigration timeline, so it's worth discussing both options with your recruiter.
Which departments or roles at Nasdaq are most likely to offer visa sponsorship?
Sponsorship at Nasdaq tends to concentrate in technology-heavy departments, including software engineering, cloud infrastructure, data science, and financial platform development. Roles requiring specialized technical knowledge aligned with a relevant degree are the strongest candidates for H-1B specialty occupation classification. Business and operations roles may also qualify but are less common in Nasdaq's sponsorship profile.
How do I time my application to Nasdaq if I need H-1B sponsorship?
The H-1B lottery registration runs each March for an October 1 start date. To be considered, you need a signed offer well before the registration window opens. Aim to start your Nasdaq job search in October or November of the prior year, complete interviews by December or January, and have your offer finalized by late February at the latest.
How do I find Nasdaq visa sponsorship jobs that are actively hiring?
Migrate Mate is the most reliable way to find Nasdaq roles where sponsorship is verified. The platform filters jobs by real sponsorship history rather than self-reported claims, so you can focus your effort on openings where international candidates are genuinely considered. Search for Nasdaq directly on Migrate Mate to see current listings aligned with your visa situation.
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