At a Glance
- Tasks: Support the development of a market intelligence platform and create interactive data visualisations.
- Company: Join Crédit Agricole CIB, a leading global financial services provider.
- Benefits: Gain hands-on experience in finance and technology with a dynamic team.
- Other info: Collaborative environment with opportunities for professional growth and learning.
- Why this job: Work at the intersection of finance and tech, making real impact on investment decisions.
- Qualifications: Master’s degree in relevant field and proficiency in Python required.
The predicted salary is between 54000 - 66000 £ per year.
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 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.
- 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.
Minimal education level: 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
12-Month Internship - Data Scientist 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.
