Internship – Financial Data Analyst
Quantilia · Nice, France
- Location
- Nice, France
- Type
- Internship
- Seniority
- Intern
- Salary
- Not stated
- Posted
- 3 Nov 2026
Verified open 3 Nov 2026 · Source: Company careers page
About the role
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Internship – Financial Data Analyst
- Published: June 18, 2026
Location :
Nice, France
Duration :
6 months
Quantilia is a financial technology company specializing in quantitative analytics and advanced risk management solutions for institutional clients. We work with leading European financial institutions, providing high-performance tools and data-driven insights to support decision-making across complex financial markets. Based in Nice, France, Quantilia operates in an international and fast-growing environment combining finance, data, and technology.
Mission :
As part of this internship, you will join the Quantilia team and contribute to the analysis, structuring, and valorization of financial data. Your responsibilities will include in particular:
- Collecting, cleaning, and preparing complex financial datasets;
- Performing statistical analyses and creating visualizations to identify relevant trends and insights;
- Developing dashboards and monitoring tools to support decision-making for internal teams and clients;
- Contributing to the automation of reporting and analysis processes;
- Collaborating with data science and product teams to enhance Quantilia’s solutions.
Profile :
- Student enrolled in a top-tier engineering school;
- Strong proficiency in Python;
- Good command of data visualization tools (Tableau, Power BI, Plotly, etc.);
- Strong interest in finance and data analysis;
- Rigorous, analytical mindset with the ability to work autonomously;
- Previous internship experience or academic projects related to data analysis are a strong plus.
What We Offer :
- Immersion in an innovative environment at the intersection of finance and technology;
- The opportunity to work on concrete, high-impact challenges for institutional clients;
- Mentorship and guidance from experts in data science and finance.
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