Finance Data Science Intern — Big Data & ML

161 TP ICAP (Europe) SA; Paris; Presencial; EUR 12.000 - 20.000; Jornada completa

Descripción de la vacante

Louis Capital Markets in Paris is seeking an Equity Research intern to work at the intersection of finance, data science and AI. You will contribute to cutting-edge research and product development while applying Python, SQL and ML concepts.

The role targets a Master’s graduate (Bac+5) in Engineering, Data Science or Finance, with curiosity, autonomy and strong analytical skills. Paris-based, onsite internship with exposure to institutional clients.

Formación

• Master’s degree (Bac+5) in Engineering, Data Science or Finance.
• Strong analytical skills, curiosity and initiative.
• Independent worker with ability to collaborate.
• Initial data analysis or ML experience; finance exposure is a plus.
• Fluent in French and English.

Responsabilidades

• Design and refine predictive models for investment decisions.
• Analyze industry trends and economic indicators.
• Track market news for impacts on listed companies.
• Present results in meetings and contribute to research discussions.
• Explore new indicators and enhance the Big Data product.
• Implement AI tools to improve research processes.
• Maintain large financial and economic databases.

Conocimientos

Machine Learning

Predictive Modelling

Python

SQL

French & English

Salesforce.com

MS Office

Autonomy

Analytical thinking

Educación

Bac+5 in Engineering/Data Science/Finance

Bachelor’s degree

Herramientas

Python

SQL

Salesforce.com

Excel

PowerPoint

Descripción del empleo

Louis Capital Markets in Paris is seeking an Equity Research intern to work at the intersection of finance, data science and AI. You will contribute to cutting-edge research and product development while applying Python, SQL and ML concepts.

The role targets a Master’s graduate (Bac+5) in Engineering, Data Science or Finance, with curiosity, autonomy and strong analytical skills. Paris-based, onsite internship with exposure to institutional clients.