At a Glance
- Tasks: Extract, integrate, and analyse data to support financial research and decision-making.
- Company: Join Crédit Agricole CIB, a leader in sustainable finance and innovation.
- Benefits: Gain valuable experience, mentorship, and opportunities for personal growth.
- Other info: Diverse and inclusive workplace with a strong commitment to social responsibility.
- Why this job: Make a real impact in a collaborative environment focused on sustainability.
- Qualifications: Pursuing a degree in data engineering, computer science, or related fields.
The predicted salary is between 22500 - 27500 £ per year.
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.
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:
- 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.
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 AI, MCP, Agents.
- Languages: English or French (spoken and written).
12 Month Internship – Data Engineer/Data Analyst in London employer: Crédit Agricole CIB
Crédit Agricole CIB is an exceptional employer located in the heart of London, offering a dynamic work culture that fosters collaboration and innovation within the Global Markets Division. Employees benefit from comprehensive growth opportunities, including professional development and exposure to international regulatory environments, making it an ideal place for those seeking meaningful and rewarding careers in finance. With a commitment to employee well-being and a supportive team atmosphere, Crédit Agricole CIB stands out as a top choice for aspiring Clearing Analysts.
StudySmarter Expert Advice🤫
We think this is how you could land 12 Month Internship – Data Engineer/Data Analyst in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace 12 Month Internship – Data Engineer/Data Analyst in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Crédit Agricole CIB will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Crédit Agricole CIB
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Crédit Agricole CIB.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Crédit Agricole CIB that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
