By joining our Research Team at Crédit Agricole CIB, you will be part of a dynamic, collaborative and innovative environment where data is the driving force behind our decisions. You will get involved in projects from conception to deployment, giving you a comprehensive understanding of the entire data lifecycle. You will have the opportunity to collaborate with teams across different regions, markets and sectors, gaining a global perspective on how data drives business decisions.
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 Intern 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.
Active participation in NLP project:
- Contribute to an ongoing Natural Language Processing (NLP) project by supporting data collection, pre-processing, and annotation.
- Assist in the training and evaluation of NLP models, ensuring the use of relevant and high-quality data.
- Participate in research and experimentation to explore new NLP techniques and approaches