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: A1, Fitch Ratings: A+, R&I: A+).

Job Description

You join the team within the Enterprise Risk Management (ERM) department of the Risk Supervision Department at Natixis, more precisely the "Credit & Non-Financial Risks Modeling" (CNFRM) division., who is responsible for all the methodologies for measuring and evaluating credit, operational and non-financial risks. This pole is looking for a data scientist for a 6-month internship from March 2026.

The work of the CNFRM cluster revolves around the following activities:

• The quantitative modeling of individual risk parameters (PD, LGD, CCF...),
• Credit risk rating methodologies to be called expert,
• Projection methodologies (Stress tests and IFRS9),
• The modeling of operational risk and non-financial risks (climate risk),
• Measures of economic capital, credit (for default, concentration...) and non-financial risks

The intern will contribute to the estimation of the financial impacts of physical climate hazards (historical or projected on scenarios) on the companies in Natixis CIB’s portfolio. This estimation process is structured into five main steps:

1. Recovery of productive assets of companies and definition of their criticality (dependency on the company)
2. Evaluation of physical hazards for each asset
3. Damage assessment (e.g., business interruption, increase in insurance costs)
4. Enterprise-wide risk aggregation
5. Reflections on the financial deterioration of balance sheets and values related to global warming

The intern will mainly contribute to steps 1 and 4. Point 1 will consist of structuring the database and help in defining criticality. Point 4 will propose aggregation methods. For these two contributions, will be expected:

• A state of the scientific art on the criticality of exposed assets and aggregation
• A clean database
• An implementation (in Python) of methodologies found in the state of the art
• The integration of codes in the internal library of "climate and environmental risks"
• The writing of a report, in a "research thesis" format

The intern will also be able to contribute to steps 2, 3, and 5 without it being an expected.

#FinanceTransformative

As a Top Employer, we place our employees at the center of our attention. Internal mobility, career development and training devices allow you to grow and flourish throughout your journey.

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

You also have the opportunity to commit yourself in favor of society and causes that are dear to your heart 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’s restaurant.  

Required Skills/Qualifications/Experience

Student in the final year of engineering school or university in applied mathematics, with a specialization in statistical modeling and/or data analysis.

You have skills in the field of climate and financial risk modeling, which are highly appreciated. You demonstrate scientific rigor, autonomy, and good team spirit. You have good speaking and writing skills, as well as an advanced knowledge of Python.
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 as well as your project.







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