At a Glance
- Tasks: Support the development of a market intelligence platform and build quantitative models.
- Company: Join Crédit Agricole CIB, a leader in sustainable finance and innovation.
- Benefits: Gain valuable experience, mentoring, and opportunities for personal growth.
- Other info: Collaborative culture that values diversity and empowers employees.
- Why this job: Make a real impact in finance while working with cutting-edge technology.
- Qualifications: Proficiency in Python and a strong foundation in statistics and data science.
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 based across 8 major financial centres, dedicated to building strong client relationships and delivering high-value, tailored market analysis. As we continue to expand our data capabilities, we are strengthening our data team to further leverage our expertise across Rates, Credit, FX, Emerging Markets and Equities, as well as the robust data infrastructure developed over the years. The data team works closely with analysts, strategists, traders, sales and clients, with the objective of delivering value-added insights and supporting investment solutions across all covered asset classes.
The intern’s main objective will be to support the development and enhancement of our proprietary market intelligence platform, with a particular focus on Interest Rates, Inflation and FX products. The role will involve building quantitative models, improving analytics, and designing interactive data visualisations for internal and external users. The intern will also contribute to the ongoing development of the team’s data infrastructure and support strategists with their data needs, including data extraction, transformation, modelling, automation and analysis.
Key Responsibilities:
- Data extraction and integration: Work closely with analysts to understand their data needs and translate strategic priorities into actionable data solutions. Collect and integrate data from various sources, databases, and APIs into our central data system. Clean and format the collected data to ensure consistency and usability across our data points repository. Develop Python/R scripts to automate data updates, with a focus on FX, inflation, and interest rate metrics.
- Developing and maintaining models for Interest Rates, Inflation, and FX markets: Develop quantitative models using econometric and machine learning techniques, covering breakeven analysis, inflation forecasting, relative value modelling, and FX intraday volatility analysis. Develop scenario analysis tools to simulate shocks on HICP subcomponents and assess pass-through mechanisms. Compute and enhance key market indicators, including measures of the market impact of economic events. Implement validation frameworks including backtesting, cross-validation, and out-of-sample performance assessment to ensure model robustness.
- Creating interactive dashboards and charts to enhance our analytical tools: Design intuitive, dynamic visualizations that transform complex market data into clear, actionable insights. Develop interactive features enabling clients to explore scenarios, create custom aggregates, and simulate market shocks.
What makes this role exciting: You'll be at the intersection of finance, technology, and design—building tools that real market participants use daily to make investment decisions.
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.
Candidate criteria:
- Minimal education level: Bachelor Degree / BSc Degree or equivalent
- Academic qualification / Speciality: Master’s degree or equivalent in relevant field (statistics, economics, econometrics, data science)
- Required skills: Proficiency in Python, experience working with large datasets, designing efficient data structures and data processing workflows, experience with Power BI or other data visualization tools, strong foundation in mathematics, statistics, and quantitative modelling, strong interest in financial markets and global economics, fluent in English, French is a plus, strong analytical and communication skills, resourceful, proactive and solution-oriented, organized, rigorous, and detail-oriented.
Languages: English
12-Month Internship - Data Scientist 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 Scientist in London
✨Join Data-Science Meetups
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✨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.
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We think you need these skills to ace 12-Month Internship - Data Scientist 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!
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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.
