Quant Research Intern: Data Modeling & Insights

Euronext; Paris; Sur place; EUR 13 000 - 20 000; Plein temps

Résumé du poste

Euronext is seeking a highly motivated quantitative research intern in Paris to join our data analytics team. You will apply quantitative methods to real-world market data, design experiments and build predictive models under supervision.

The ideal candidate is currently pursuing or has recently completed a degree in mathematics, statistics, data science or a related field, with strong analytics, programming and teamwork skills.

Qualifications

• Pursuing or recently completed 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).
• Solid understanding of statistical methods and quantitative analysis.
• Excellent communication and teamwork abilities.
• Self-motivated with attention to detail.

Responsabilités

• 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.

Connaissances

Analytical skills

Formation

Degree in mathematics/statistics/economics/data science/computer science

Outils

Python

R

SAS

MATLAB

Description du poste

Euronext is seeking a highly motivated quantitative research intern in Paris to join our data analytics team. You will apply quantitative methods to real-world market data, design experiments and build predictive models under supervision.

The ideal candidate is currently pursuing or has recently completed a degree in mathematics, statistics, data science or a related field, with strong analytics, programming and teamwork skills.