Internship - 6 months - Quantitative Risk Analyst F/M

Descrizione del lavoro:

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 will join the "Market and Counterparty Risk Modeling" unit within Natixis's Enterprise Risk Management department, which is seeking a Quantitative Risk Analyst for a 6-month internship starting in April 2026.
Within the Enterprise Risk Management - Market & Counterparty Risk Modeling department, the team conducts applied research aimed at improving the modeling, measurement, and management of market and counterparty risks, particularly in contexts of high numerical complexity.
In this internship, you will participate in applied research work focusing on Bayesian learning methods, notably Gaussian Process Regression for approximating pricing functions (Pricers), exposures, and risk measures (VaR, ES, EEPE, PFE, XVA) in market and counterparty risk.
In collaboration with your mentor, your main missions will be to:
* Conduct a structured literature review on Bayesian approaches and Gaussian processes in quantitative finance, and analyze their contributions and limitations for risk modeling.
* Contribute to the analysis and implementation of these approaches for dynamic stochastic control and optimal stopping problems (early-exercise derivatives, path-dependent exposures).
* Participate in the implementation of the studied methodologies for concrete cases on Equity and/or Fixed Income derivative portfolios using the bank's internal tools, and analyze the gains in terms of numerical performance.
#FinanceTransformative
You will evolve in an international and inclusive environment, fostering collaboration with concrete missions and real impact. We will support 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 get involved in supporting society and causes close to your heart through our corporate foundation.
In addition to an attractive internship allowance calculated based on your training and study level, you benefit from a 60% reimbursement of your transportation pass, one paid day of absence for each month worked, and access to the company restaurant.
You may also have access to the Works Council depending on your length of employment.

Required Skills/Qualifications/Experience

Student at Bac+5 level (Master's degree or Engineering school) with a specialization in financial mathematics, probability, or quantitative finance.
You have a strong inclination for research and development.
You possess solid foundations in probability, stochastic calculus, and derivative pricing, and you are motivated by market and counterparty risk modeling challenges.
You have good knowledge of numerical methods applied to finance: Monte Carlo simulation, regression, and approximation methods.
You are capable of prototyping and implementing your ideas in Python, and you are proficient in common scientific libraries, as well as quantitative computing environments.
And last but not least, you are fluent in English.
You will be contacted by one of our recruiters before meeting our business experts.
An ideal moment for discussion to showcase your personality and your project