2026 Quantitative Research Intern (Dubai Off Cycle).

Millennium Management; Paris; Sur place; EUR 30 000 - 50 000; Plein temps

Résumé du poste

A leading financial firm in Paris is seeking a Quantitative Research Intern for a minimum of 6 months. The role emphasizes collaboration with a team skilled in machine learning, focusing on developing feature libraries and implementing algorithms for predictions. Candidates should possess strong Python skills and a degree in a quantitative field. This internship provides an opportunity to gain hands-on experience in a fast-paced environment.

Qualifications

• Minimum 6 months commitment required.
• Excellent communication, problem-solving, and analytical skills.
• Understanding of quantitative finance and statistical analysis is essential.

Responsabilités

• Collaborate with team members on machine learning projects.
• Develop feature libraries and implement machine learning algorithms.
• Manipulate multiple data sets for analysis.

Connaissances

Expert in Python

Proficient in Jupyter

Proficient in pandas

Proficient in numpy

Proficient in sklearn

Formation

Degree in Mathematics

Degree in Computer Science

Degree in Statistics

Description du poste

Overview

2026 Quantitative Research Intern (Dubai Off Cycle)

Off Cycle Quantitative Researcher Intern

Minimum 6 month, working in a collaborative team, with a focus on machine learnings.

Responsibilities

• Work alongside the team members with strong machine learning background to :
• Develop additional feature libraries
• Implement novel machine learning algorithms for return predictions

Preferred Technical Skills

• Expert in Python
• Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn)
• Degree in Mathematics, Computer Science, Statistics, or related STEM field from top ranked University
• Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory
• Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts

Preferred Experience

• Hands-on experience on predictive data-science project
• Experience working with multiple data sets and manipulating data (assessing, cleaning, creating features, etc.)

Highly Valued Relevant Experience

• Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment
• Entrepreneurial mindset
• Curiosity and critical thinker
• Eagerness to learn and grow professionally
• Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort