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Crédit Agricole CIB vacancy search engine

12 Month Internship - Computational Finance


Vacancy details

General information

Entity

About Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB)

Crédit Agricole CIB is the corporate and investment bank of the Crédit Agricole group, the 10th largest banking group in the world *.

We support major companies and financial institutions in their development and the financing of their projects.

As pioneers in responsible finance, social and environmental commitments are at the heart of our activities.

Joining our teams means working in a multicultural environment, both dynamic and stimulating, where you will contribute to developing a sustainable economy.

We support employees throughout their journey: you will develop your skills and access various mobility opportunities among the diversity of our businesses in more than 30 international locations.

Our culture is built on collaboration, innovation and openness, where everyone is valued and empowered.

By working every day in the interest of society, Crédit Agricole CIB aligns with the Group values committed to diversity and inclusion and placing people at the heart of all its transformations.

All our jobs are open to people with disabilities. We welcome applications from candidates of all backgrounds and experiences.

Ready to take part in our mission ?

*By balance sheet size - The Banker, Juillet 2025  

Reference

2026-113094  

Update date

04/06/2026

Job description

Business type

Types of Jobs - Corporate & Investment Banking

Job title

12 Month Internship - Computational Finance

Contract type

Internship/Trainee

Term (in months)

12 Months

Job summary

Join our Global Market Division as a Computational Finance Intern within the XVA / Scarce Resources team. This role is crucial in supporting the team across various strategic projects, including the Smart XVA Project, by leveraging advanced machine learning techniques and financial modelling skills. A deep understanding of computational machine learning and proficiency in Python are essential for this position.

 

Key Responsibilities are, but are not limited to:

 

  • Model Development: Implement and refine machine learning models using Pytorch, focusing on supervised, unsupervised, and reinforcement learning algorithms
  • Financial Modelling: Work closely with the XVA and Scarce Resources desk to enhance XVA pricing and modelling. Utilize C++ and Python to maintain and upgrade the XVACCR Library
  • Innovation: Propose and implement innovative solutions using neural networks to drastically speed up XVA computation and optimise RWA in E-trading systems
  • Collaboration: Engage with various internal teams, including Risk Management and Trading, to assess model performance and integrate feedback into development
  • Project Involvement: Actively participate in the development of the Collateral management platform and contribute to various front office and risk systems migration projects

Supplementary Information

Join our team at Crédit Agricole CIB, the corporate and investment banking arm of 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2023). We offer more than just a job.

 

You will be part of a dynamic and collaborative work environment where CSR is embraced in our day-to-day business operation, innovation is encouraged and diversity is celebrated.

 

Crédit Agricole CIB, the first French bank to have committed to the Equator Principles, is a pioneer and global leader in sustainable finance. Our commitment to sustainability and corporate responsibility means that your work will have a positive impact on our communities and the environment.

With a people-centric culture where everyone is valued, and opportunities for personal and professional growth, Crédit Agricole CIB is not just a place to work – it is where you make an impact.

 

Our hiring process is open to all and should you have any particular needs or you may require adjustments, please let us know.

Position location

Geographical area

Europe, United Kingdom

City

London

Candidate criteria

Minimal education level

Bachelor Degree / BSc Degree or equivalent

Academic qualification / Speciality

  • Degree in Computer Science, Engineering, or a related field

Experience

  • Proven experience in computational machine learning engineering, XVA modelling, and AAD techniques

Required skills

  • High level of creativity
  • Autonomy
  • Strong team spirit

Technical skills required

  • Proficiency in C++ is desirable
  • Python
  • SQL programming