- Location
- Paris, France
- Type
- Internship
- Seniority
- Internship
- Source
- Workday
Description
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.