Crédit Agricole CIB
12-Month Internship - Data Scientist
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Crédit Agricole CIB Global Markets Research
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 Role
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.
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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.
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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 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.
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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
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- Collaboration and business development:
- Partner with sales, trading, and research teams to understand client requirements and promote the platform’s capabilities internally.
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. This isn't about crunching numbers in isolation; it's about understanding what moves markets and creating elegant solutions that strategists and clients actually love to use.
Required Skills
- Minimal education level: Master’s degree or equivalent in relevant field (statistics, economics, econometrics, data science)
- 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
Start Date
November 2026
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