Market Data Scientist Intern — Visualize & Model FX/IR

Market Data Scientist Intern — Visualize & Model FX/IR

Full-Time 60750 - 74250 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build quantitative models and create interactive dashboards for data analysis.
  • Company: Join Crédit Agricole CIB, a leading financial institution in London.
  • Benefits: Gain hands-on experience, mentorship, and networking opportunities in finance.
  • Other info: 12-month internship starting November 2026 with potential career growth.
  • Why this job: Make an impact by enhancing data capabilities in a dynamic financial environment.
  • Qualifications: Strong analytical skills and a passion for data science.

The predicted salary is between 60750 - 74250 £ per year.

Crédit Agricole CIB is offering a 12-month Data Scientist internship in London, focusing on expanding data capabilities across Rates, Inflation and FX.

The role entails building quantitative models, enhancing analytics, and creating interactive dashboards for internal teams and clients.

The internship develops data infrastructure, supports strategists with data needs, and contributes to the team’s analytical tools. Start date is November 2026.

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Market Data Scientist Intern — Visualize & Model FX/IR employer: Crédit Agricole SA

Crédit Agricole CIB is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the dynamic environment of Paris. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a strong commitment to sustainability through ESG initiatives. Joining our team means being part of a global network where your contributions directly impact significant financial transactions and governance practices.

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Contact Details:

Crédit Agricole SA Recruitment Team

We think you need these skills to ace Market Data Scientist Intern — Visualize & Model FX/IR

Quantitative Modelling
Data Analytics
Dashboard Creation
Data Infrastructure Development
Support for Data Needs
Analytical Tools Contribution
FX Knowledge