Entity
About Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB)
Crédit Agricole CIB is the corporate and investment banking arm of Crédit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022).
8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East and North Africa, support the Bank's clients, meeting their financial needs throughout the world.
Crédit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking and international trade.
The Bank is a pioneer in the area of climate finance, and is currently a market leader in this segment with a complete offer for all its clients.
For more information, please visit www.ca-cib.com
Twitter: https://twitter.com/ca_cib
LinkedIn: https://www.linkedin.com/company/credit-agricole-cib/
By working every day in the interest of society, we are a group committed to diversity and inclusion. All our positions are open to people with disabilities.
Reference
2024-88844
Update date
17/04/2024
Summary
The first part of the mission consists of collecting data from various sources including satellite imagery. The collected data will be processed to generate insightful and meaningful indicators for the research team and, more broadly, Crédit Agricole CIB. The main questions of atmosphere composition, climate change, ship and air traffic, drought and other weather characteristics will be addressed. An innovative approach and the proposition of new ideas will be appreciated. The algorithm needs to be automated in collaboration with the team in order to generate durable indicators. Finally, the indicators will be tested against financial markets data with the aim of bringing new information which was previously considered as exogenous. In addition, the intern will be part of the team and will participate in various data related tasks.
Key Responsibilities
- Collect relevant data
- Generate indicators
- Participate in other data projects
Masters level degree in Mathematics, Computer science, Engineering or Physics
Essential
Good understanding of main algorithms and data structures
Desirable
Python, SQL, R, C++ or any other programming language
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