Master thesis student in Nasdaq Quant Research team
Job Description
- Experience with cloud services (AWS, Redshift).
- Experience working in a governed development environment, having version control, doing code review, producing technical documentation.
- Work on your master’s thesis project under the supervision of the Head of Quant Research.
- Building data pipelines, training, testing, and validating machine and deep learning models, visualizing, and presenting output.
- Studying master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, Economics/Finance, or similar, graduating spring 2026.
- Strong programming skills in Python, R, or similar, working with specialized statistical tools and large data sets.
- Understanding of modern AI/ML models and their application to use cases in the industry.
- Proficient English language skills.
- Financial compensation for completing Master Thesis at Nasdaq.
- Chance to network with other students from across the globe.
- Hybrid work model (NasdaqBlend) offering flexibility to work from home, in the office, or a mix.
- Total rewards program (You&Q) covering wealth building, career growth, well-being, and family care.
We are seeking a Masters Thesis Student (AI/ML Research) to join our Quant Research team within 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. Selected projects include supporting product development work on new market models and order types, helping Nasdaq’s customers optimize trading/routing decisions, or designing incentive schemes to attract order flow. This role provides a great opportunity to work within a highly skilled team! To succeed in this role, you need to be highly analytical, meticulous, and thorough while handling large amounts of data. We offer you access to detailed datasets that provide a microscopic view into the functioning of financial markets.
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.
- Current areas of focus for Nasdaq include:
- Algorithmic and/or smart order routing strategies
- Development of price and volume signals at high-, medium-, and low-frequencies
- AI/ML-powered order types
- Application of generative AI technologies within trading processes
- We are also open for your suggestions.
We expect you to have
- Studying master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, Economics/Finance, or similar, graduating spring 2026.
- 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)
- Any experience working in a governed development environment, having version control, doing code review, producing technical documentation, etc.
Does this sound like you? If so, we would love to hear from you! During the spring 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. Please send in your application in English no later than October 10th, the role might close earlier.
