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About Euronext
Euronext strategic planInnovate for Growth 2027Read moreShaping capital markets for future generations
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Listing
Strengthening Europe’s strategic autonomy through capital marketsCzechoslovak Group lists on EuronextRead moreWorld’s largest defence IPO ever recorded.
Learn more about Euronext’s initiatives to enhance financing and visibility for European aerospace and defence companies -
Trading
Where European Government Bonds meet the futureFixed Income derivativesRead moreTrade Mini Bond Futures on main European Government Bonds
-
Clearing
Step into Europe’s next phase of Repo ClearingRepo ClearingRead moreEuronext is expanding its repo clearing services to boost market access, liquidity provision and collateral optimisation across Europe.
-
CSD
European CSD modelBuilding the CSD of Choice in EuropeRead moreEuronext Securities is shaping the future of European capital markets by enhancing integration, connectivity, and innovation.
-
Technology
Euronext Technology SolutionsHigh-Frequency Trading Solution (HFTS)Read moreThe new generation of high-frequency risk trading platforms, offering the highest performance with ultra-low latency and minimal jitter, all at a low total cost of ownership.
-
Data
-
Indices
Access the white paperNext generation of indicesRead moreThis white paper marks the second edition of Euronext’s Index Outlook series, a recurring publication designed to give investors deeper insight into our index innovation agenda and the structural forces shaping global markets.
- Regulation
-
About Euronext
Euronext strategic planInnovate for Growth 2027Read moreShaping capital markets for future generations
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- R26634 - Quant Research Intern
Quant Research Intern
We are seeking a highly motivated quantitative research intern to join our team. The ideal candidate will have a strong foundation in quantitative analysis and research methodologies, with an eagerness to apply their skills in a real-world setting.
responsibilities:
- Assist in designing and implementing quantitative research projects.
- Collect, clean and analyse large data sets using statistical software and programming languages such as Python, R or MATLAB.
- Develop and test predictive models and algorithms.
- Collaborate with senior researchers to interpret data and draw actionable insights.
- Prepare reports, presentations and documentation to communicate findings clearly.
- Stay updated with the latest research techniques and industry trends.
qualifications:
- Currently pursuing or recently completed a degree in mathematics, statistics, economics, data science, computer science or a related field.
- Strong analytical and problem-solving skills.
- Proficiency in statistical software and programming languages (Python, R, SAS, MATLAB etc.).
- Solid understanding of statistical methods and quantitative analysis.
- Excellent communication and teamwork abilities.
- Self-motivated with attention to detail.
preferred skills:
- Experience with machine learning techniques.
- Knowledge of financial markets or industry-specific knowledge (optional).
- Familiarity with data visualisation tools such as Tableau or Power BI.