Masters Thesis Student in AI/ML Research

We are seeking a Masters Thesis Student (AI/ML Research) to join the Quant Research team within Nasdaq’s European Market Services. In Quant Research, we provide research and analytical support on market microstructure, trading liquidity, and competitor behavior to multiple Nasdaq business units such as cash equities, equity derivatives, and listings with the aim of improving the trading environment, capital formation, and market structure within the Nordic & Baltic region. Select projects include supporting product development work on new market models and order types, helping Nasdaq’s customers optimize trading/routing decisions, and designing incentive schemes to attract order flow.

About the Student Master Thesis Program:

During the spring semester of 2025 we welcome Master Thesis Students to Nasdaq and our program, where you will have the chance to network with other students from across the globe. All our Master thesis students get financial compensation for completing their Master Thesis at Nasdaq.
 

What will you be doing?

• Work on your master’s thesis project under the supervision of the Head of Quant Research at Nasdaq’s, European Market Services. You would be working on building data pipelines, training, testing, and validating machine and deep learning models, visualizing, and presenting output.

Areas that we would like to explore further together with you:

• Algorithmic and/or smart routing strategies, AI/ML-powered order types, Application of AI technologies within trading, Development of price and volume signals at high-, medium-, or low-frequencies or other suitable fields. The specific subject will be decided in collaboration throughout the recruitment process, but we also appreciate your own suggestions.
  
   

You will bring:

• Studying a Master’s degree in a field such as Mathematics, Statistics, Computer Science, Engineering, Physics, or similar, graduating spring 2025.
• Strong programming skills in Python, R, or similar, working with specialized statistical tools and large data sets. Ideally, strong skills in SQL (MSSQL, PostgreSQL, Redshift)
• Understanding of modern AI/ML models and their application to use cases in the industry, ideally in quantitative finance, gained through course work and/or prior internships.
• Proficient English language skills.
   

It would be great if you have

• Experience with cloud services (AWS, Redshift)
• Relevant work experience alongside your studies
   

This role provides a great opportunity to work within a highly skilled team! To succeed, you need to be highly analytical, meticulous, and detailed while handling large amounts of data. We offer you access to detailed datasets that provide a microscopic view into the functioning of financial markets.

Does this sound like you? If you think you would thrive in this role, we would love to hear from you!

This opportunity is located in Stockholm. Please send in your application in English no later than October 5th. If you have questions contact Sanna Hedlund (sanna.hedlund@nasdaq.com).

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.