Quant Intern

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

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.

Euronext Values

Unity

• We respect and value the people we work with
• We are unified through a common purpose
• We embrace diversity and strive for inclusion

Integrity

• We value transparency, communicate honestly and share information openly
• We act with integrity in everything we do
• We don’t hide our mistakes, and we learn from them

Agility

• We act with a sense of urgency and decisiveness
• We are adaptable, responsive and embrace change
• We take smart risks

Energy

• We are positively driven to make a difference and challenge the status quo
• We focus on and encourage personal leadership
• We motivate each other with our ambition

Accountability

• We deliver maximum value to our customers and stakeholders
• We take ownership and are accountable for the outcome
• We reward and celebrate performance

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.

Additional Information

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.