Quant Research - Student Worker
Stockholm-Tullvaktsvägen
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Nasdaq
Get the latest stock market news, stock information & quotes, data analysis reports, as well as a general overview of the market landscape from Nasdaq.We are seeking a student worker to join the Quant Research group within Nasdaq’s European Economic and Statistical Research (ESR) department. 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.
What will you be doing?
- You will provide quantitative analysis and support research initiatives focusing on Nasdaq Nordic’s cash equities and equity derivatives markets.
- The ideal candidate will have the opportunity to work independently on research projects as well as support research efforts by engaging in data extraction, data cleanup, and exploratory analysis.
- Typical projects include supporting product development work on new market models and order types, understanding the trading flow of Nasdaq’s customers and helping them optimize trading/routing decisions, supporting the design of incentive schemes to attract order flow, and conducting impact analyses of various initiatives.
- We also offer the possibility for students to write their master theses within our group.
We expect you to have
To succeed in this role, you need to be highly analytical, meticulous, and thorough while handling large amounts of data. Our short deadlines also place high demands on service mindedness, efficiency, and expertise. The ideal candidate will:
- Be currently enrolled in a university masters program within finance/economics, engineering, data science, or other relevant subjects.
- Have some first experience in employing statistical, econometric, and/or machine learning models to investigate business/research questions. This could be through prior internships, thesis work, or course work.
- Have proficiency in programming or scripting languages, e.g. R or Python
- Have the ability to handle very large data sets
- Have the ability to collaborate effectively in a cross-functional team
It is great if you also have
- Experience working with SQL
- An interest and familiarity in finance and capital markets
Does this sound like you?
This role is ideal for anyone aiming to build a career in the field of quantitative research and financial markets. It provides a great opportunity to work within a highly skilled team! We offer you access to detailed datasets that provide a microscopic view into the functioning of financial markets.
This is a part-time position in Stockholm, Sweden. The ideal candidate can work at a minimum 2 days a week in parallel to their studies and full time during the summer. Applications will be reviewed on an ongoing basis. Please submit your application in English.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Economics Engineering Finance Machine Learning ML models Python R Research SQL Statistics
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.