General information

Entity

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

Crédit Agricole CIB is the corporate and investment banking arm of Crédit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022).
8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East and North Africa, support the Bank's clients, meeting their financial needs throughout the world.
Crédit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking and international trade.
The Bank is a pioneer in the area of climate finance, and is currently a market leader in this segment with a complete offer for all its clients.
By working every day in the interest of society, we are a Group committed to diversity and inclusion and place people at the heart of all our transformations. All our job offersare open to persons with disabilities.

For more information, please visit www.ca-cib.com

Twitter: https://twitter.com/ca_cib
LinkedIn: https://www.linkedin.com/company/credit-agricole-cib/

By working every day in the interest of society, we are a group committed to diversity and inclusion. All our positions are open to people with disabilities.

Reference

2025-99975

Update date

21/08/2025

Job description

Business type

Types of Jobs - Corporate & Investment Banking

Job title

12 Month Internship - eFX Quant

Contract type

Internship/Trainee

Management position

Job summary

Join our dynamic eFX Spot Trading team in London, where you'll be at the forefront of electronic FX spot market making activities. You will work on the development of advanced pricing and hedging models, with a strong emphasis on alpha research. This role offers unparalleled exposure and collaboration with Quant Trading, Trading, Sales, and IT to create impactful statistical analytics.

We are looking for a candidate with a strong quantitative background who is comfortable with programming languages such Python along with the ability to work in a fast-paced environment.

Key Responsibilities include:

Innovate and Build: Developing quantitative models for pricing and hedging.
Conduct in-depth alpha research to uncover new opportunities.
Performance Analysis: Backtest and analyse the effectiveness of our eFX market making algorithms and strategies.
Enhance Efficiency: Continuously improve the performance of our eFX market making algorithms.
Collaborate and Communicate: Engage with trading, IT, and sales teams to drive success.

Supplementary Information

Our commitment to you

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 a quantitative field: Mathematics, Statistics, Computer Science, Physics, Engineering

Masters/PhD is preferable

Experience

Some professional experience in quantitative finance would be beneficial.
Quantitative academic projects

Technical skills required

Strong programming skills (Python)
Strong modelling skills
Good experience with databases