Job description

Business type

Types of Jobs - Corporate & Investment Banking

Job title

12 Month Internship - Data Engineer/Data Analyst

Contract type

Internship/Trainee

Term (in months)

12-months

Expected start date

01/11/2026

Management position

No

Job summary

Crédit Agricole CIB Global Markets Research is an international team of 40 research professionals in 8 major financial centres, dedicated to building close relationships with our clients and providing personalised analysis. We are expanding our data team to further leverage our expertise in rates, credit, FX, Emerging and Equity markets as well as our data infrastructure built over the years.

• The team closely works with analysts, strategists, traders and clients, with the objective of bringing added value and investment solutions in all areas covered.

• The new team member's main objective will be to expand our scope of macroeconomic and sectoral data (Industrials, ESG, Retail, Autos, Emerging Markets...). The intern will contribute to the ongoing development of the data infrastructure and support various teams in their data needs, including data extractions, transformations, and analysis.

Key Responsibilities

As a Data Engineer/Data Analyst on the Research-Quants team, you will be on charge on these following tasks:

Data extraction and integration:

• Collect data from various sources, including databases, APIs and then integrate them into our central data system.

• Clean and format the collected data to ensure consistency and usability.
  Participate in the development and optimization of data models and schemas for efficient storage and retrieval.

• Develop scripts to automate data updates.

Data quality assurance and documentation:

• Conduct regular checks to ensure the accuracy and integrity of the data being processed.

• Create and maintain comprehensive documentation for all data extraction, integration, and automation processes.

• Assist in the development of data quality metrics and dashboards to monitor ongoing data integrity.

Collaboration and reporting:

• Work closely with analysts to understand their data needs and ensure integration into the data infrastructure.

• Prepare reports and visualizations to present the results of the data extraction and integration processes.

Research and innovation:

• Suggest new tools or methodologies to improve existing workflows.

• Design and develop quantitative indicators to support research analysis.

Start Date: November 2026.

Supplementary Information

Our commitment to you!

Make an impact that matters

Your work contributes to a social responsibility and sustainable future. As a founding signatory of the Equator Principles and a global leader in sustainable finance, we finance projects that benefit both people and the planet. You can extend your impact through our Charities Committee, which provides annual paid volunteering leave to support causes you care about.

Grow without limits

Access development opportunities across the Crédit Agricole Group; whether deepening expertise, exploring new skills or taking on roles across borders. Our structured mentoring programme connects you with experienced colleagues, while cross-functional projects and learning initiatives help you build the capabilities that matter most to you.

Thrive in a culture built on trust

Be part of a collaborative environment built on trust, autonomy, and empowerment. Diversity is celebrated through our SPRING Diversity network, and our Sports and Social Club fosters genuine connections beyond the workplace. Crédit Agricole CIB is not just a place to work, it is a place where you can make a positive impact.

Shape the future of banking

From digital transformation to innovative solutions, you are fully supported to challenge conventions and turn ideas into reality.

Join us

Our hiring process is open to all. Should you require any accommodations, 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

Engineering or Master's degree in relevant field (data engineering, computer science, computer information systems, data/analytics, data science).

Required skills

• Excellent analytical and communication skills.

• Autonomous and with a strong sense of team spirit.

• Organized ,rigorous and curious to learn about the financial environment.

Technical skills required

• Proficiency in Python, SQL, GIT, C#.

• Understanding of data modeling concepts and techniques to design efficient data structures.

• Experience with Power BI or other data visualization tools.

• Good understanding of IA , MCP, Agents.

Languages

English or French (spoken and written)