Internship - 6 months - Developer of econometric tools (Python/agentic AI) F/M

Company Description

Natixis Corporate & Investment Banking is a leading global financial institution that provides advisory, investment banking, financing, corporate banking and capital markets services to corporations, financial institutions, financial sponsors and sovereign and supranational organizations worldwide.

Our teams of experts in close to 30 countries advise clients on their strategic development, helping them to grow and transform their businesses, and maximize their positive impact. Natixis CIB is committed to aligning its financing portfolio with a carbon neutrality path by 2050 while helping its clients reduce the environmental impact of their business.

As part of Groupe BPCE, the second largest banking group in France through the Banque Populaire and Caisse d’Epargne retail networks, Natixis CIB benefits from the Group’s financial strength and solid financial ratings (Standard & Poor's: A+, Moody's: A2, Fitch Ratings: A+,R&I: A+).

Job Description

POSITION AND MISSIONS

You are joining our Econometrics team in the Market & Counterparty Risk department, which is looking for aDeveloper of econometric tools in Python , for an internship of 6 months from November 2026.

Tools for analysis, reconstruction of historical data or identification of outliers in time series are integrated into a common library developed in python, made available for the most part via a front-end using the steamlit framework.

Other features developed within the team for specific needs still need to be integrated into the global library, particularly around deviation calibration topics-types, production of regulatory KPIs or other impact reports from the weekly update of econometrics for VAR calculation.

In an effort to modernize the tools available to the team, a significant component of the internship will rely on the implementation of AI agents to streamline daily tasks.

In collaboration with your tutor, your main tasks will be:

• Become familiar with existing tools by reading the associated documentation and code.
• To be proactive in integrating the team’s analysis tools into the global python library.
• Leverage internal LLM-based resources for the implementation of AI agents to analyze team-generated metrics or anomaly detection.
• Create a common base in the form of a library including the features useful to the team in their daily tasks.
• Perform post-migration consistency tests.
• Possibly improve code performance.
• Document the different steps as well as create a modus operandi if new features are added.
• Intervene on risk factors and market data for all asset classes (rates, credit, treasury, foreign exchange, equities, commodities).

#FinanceTransformative
We place our employees at the center of our attention. Internal mobility, career development and training programs allow you to grow and flourish throughout your journey.

You work in an inclusive environment, fostering collaboration with concrete assignments and a real impact. We will accompany you throughout your experience with us so that you can learn and develop your skills working alongside experienced professionals.

You also have the opportunity to commit yourself in favor of society and causes that are important to you through our corporate foundation.

You receive an internship allowance based on your training and level of education, also a refund of your transport ticket up to 60%, one day of authorized absence paid for each month worked and access to the company restaurant.

Required Skills/Qualifications/Experience

As a BAC+ 4/5 student, you are preparing a university degree, from business school or an engineering school, with a specialization in Market or Risk Finance.

You are proficient in the Python development language and, ideally, have a knowledge of artificial intelligence (machine learning models, algorithms, RAG).

You are keen on risk metrics in market finance (VaR calculation, statistical or economic calculations, financial products).

You have excellent interpersonal skills, a very good listening ability.

You are curious, pragmatic, sensitive to process improvement and proactive.

And last but not least, you are perfectly fluent in English.

You will be contacted by one of our recruiters before meeting our business experts.

An ideal moment of exchange to highlight your personality and your project.