Big Data Analyst - 6 month internship, Paris

Role Overview

Our Equity Research team specializes in the financial analysis of European small and mid-cap companies. We have developed an innovative Big Data product that generates macroeconomic prediction indicators for listed stocks, tailored for our institutional clients. This internship offers a unique opportunity to work at the intersection of finance, data science, and AI, contributing to cutting-edge research and product development.

The preferred profile is a student or recent graduate holding a Master’s degree (Bac+5) in Engineering and/or Finance. Above all, we value curiosity, strong analytical skills, and the ability to generate ideas that contribute to product development. You should be comfortable working independently and taking initiative.

You have solid proficiency in Python and SQL (knowledge of R and VBA is a plus). Ideally, you bring initial experience in data analysis, with exposure to Machine Learning concepts. Previous experience in a financial environment would be an advantage.

Key Responsibilities

• Design and refine micro- and macroeconomic prediction models to support investment decisions.

• Conduct in-depth analysis of industry trends and economic indicators.

• Track and interpret market news to identify potential impacts on listed companies.

• Participate in meetings presenting company results and contribute to research discussions.

• Explore new indicators and assist in enhancing our Big Data product.

• Implement AI tools to optimize research processes and stay ahead of technological advancements.

• Maintain and improve large-scale financial and economic databases.

Experience / Competencies

Essential

• Currently pursuing or recently graduated with a Master’s degree (Bac+5) in Engineering, Data Science, or Finance.

• French and English language skills, both written and verbal.

• Machine Learning & Predictive Modeling experience.

• Advanced proficiency in Python and solid foundation in SQL

• Ability to synthesize complex information into actionable insights

• Comfortable working independently and in a collaborative team environment.

Desired

• Knowledge of R and VBA is a plus.

• Initial experience in Data Analysis or Machine Learning preferred; exposure to finance is an advantage.

• Curiosity, autonomy, and a passion for innovation

Band & Level

• Support / 1

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