Quantitative Research Intern: Build Models & Insights

Euronext Paris SA; Paris; On-site; EUR 13,000 - 20,000; Full time

Job summary

Euronext in Paris is seeking a highly motivated quantitative research intern to join our team. You will assist in designing and implementing research projects, collect and analyze large data sets, and develop predictive models under supervision.

Ideal candidates are pursuing or recently completed degrees in mathematics, statistics, economics or data science, with strong analytical skills and proficiency in Python, R or MATLAB.

Qualifications

• Pursuing or recently completed a degree in math, stats, economics, data science, CS or related field.
• Strong analytical and problem-solving abilities.
• Proficiency in statistical software and programming languages (Python, R, SAS, MATLAB).
• Solid understanding of statistical methods and quantitative analysis.
• Excellent communication and teamwork skills.
• Self-motivated with attention to detail.

Responsibilities

• Assist in designing and implementing quantitative research projects.
• Collect, clean and analyse large data sets using Python, R or MATLAB.
• Develop and test predictive models and algorithms.
• Collaborate with senior researchers to interpret data and draw insights.
• Prepare reports, presentations and documentation to communicate findings clearly.
• Stay updated with latest research techniques and industry trends.

Skills

Analytical thinking

Problem solving

Python

R

MATLAB

SAS

Statistical methods

Communication

Teamwork

Attention to detail

Education

Bachelor's/Master's in mathematics, statistics, economics, data science or computer science

Tools

Python

R

SAS

MATLAB

Tableau/Power BI

Job description

Euronext in Paris is seeking a highly motivated quantitative research intern to join our team. You will assist in designing and implementing research projects, collect and analyze large data sets, and develop predictive models under supervision.

Ideal candidates are pursuing or recently completed degrees in mathematics, statistics, economics or data science, with strong analytical skills and proficiency in Python, R or MATLAB.