Who we are
Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 12th largest bank by total assets.
Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office)” for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:
- Envisioning and preparing the Bank’s futures information systems
- Partnering and supporting core banking flagships and transverse areas in their large scale development projects.
- Providing premium In-house Banking applications,
This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.
We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.
Mission
As an intern, your mission is to become a valuable asset to our organization by:
- Interacting Comfortably with People: Building strong collaborative relationships within the team and stakeholders.
- Python Data Science Passion: Demonstrating a deep passion for Python in data science applications.
- Jupyter Notebook Proficiency: Becoming proficient in using Jupyter Notebook for data analysis and modeling.
- Effective Data Communication: Excelling in explaining complex data insights through both written reports and visualizations.
- Data Integration: Eagerly combining various data sources to uncover valuable insights.
- AI Curiosity: Exploring and gaining hands-on experience in AI capabilities.
During your internship, you will have the opportunity to:
- Learn about Global Market Financial Data, Transaction Reporting, Market Data, and Risk Indicators.
- Gain insights into Software Development and Production Support.
- Collaborate with Subject Matter Experts, including Business Analysts, Support Analysts, Developers, DevOps Engineers, and Quality Software Developers.
- Benefit from the guidance of a dedicated mentor.
- Progressively deliver increasingly complex notebooks that contribute to our data-driven decision-making process.
Competencies and Skills
- Knowledge on Machine Learning Algorithms.
- Jupyter Notebook, Python
- Proficiency in Data Science and Machine Learning development is required.
- Fluency in English - as acting in a multi-cultural environment.
The scope will be adapted depending on the situation and the progress of the trainee.
Application Procedure
Interested applicants, please apply via the link below:
