Internship - Machine Learning and Data (Finance And Counterparty Risk)

  • $2000
  • Singapour, Singapore
  • Stage, Plein-temps
  • Credit Agricole CIB
  • 19 sept. 17

During a 6 months internship, The Trainee will integrate the Risk and Finance Software Development teams; he will be trained on the team’s core technical knowledge and activities through mentoring and workplace training. He will bring his knowledge and skills into practice by design and prototyping new feature related to Machine Learning. Fluent in English as acting in a multi-cultural environment. Proficient in Data Science and Machine Learning development is required. Knowledge on at least a Data Science language (Python, R, Java MLLIB) is required. Knowledge on at least Data Visualization libraries is preferable.

Who we are

Crédit Agricole Corporate and Investment Banking (CA-CIB) is the CIB arm of Crédit Agricole Group, world’s 11th largest bank by total assets. 

Our Singapore center is one of the 3 main IT Hubs for CA-CIB's worldwide business. We work daily with international branches located in 33 countries 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.

Objectives:

During a 6 months internship, The Trainee will integrate the Risk and Finance Software Development teams; he will be trained on the team’s core technical knowledge and activities through mentoring and workplace training. He will bring his knowledge and skills into practice by design and prototyping new feature related to Machine Learning.

Program:
The Trainee will be trained to gain functional and technical knowledge on Finance and Counterparty Risk platform. He will propose a scope and design for the study with one or multiple purpose(s):

  • Machine Learning for Data Management
  • Is it possible to identify data patterns leading to data quality issues and data manual adjustments?
  • Is it possible to suggest those predictive adjustments to users (as a beta module)?
  • Data Science Visualization
  • How to better visualize and study the Finance and Counterparty Risk Data ? (leveraging on Data Science and Data mining technique)

The Trainee will communicate with our global team (Paris Head Office and Local Singapore Development teams) and experience an onshore/offshore setup in a corporate banking industry environment. During the entire training period, The Trainee will be supervised by the Head of RFI Section for Counterparty Risk and Finance in all respect of his duties and progress reporting.

Competences and Skills:

  • Fluent in English as acting in a multi-cultural environment.
  • Proficient in Data Science and Machine Learning development is required.
  • Knowledge on at least a Data Science language (Python, R, Java MLLIB) is required.
  • Knowledge on at least Data Visualization libraries is preferable.

The scope will be adapted depending on the situation and the progress of the trainee.


Apply at isap.recruitment@ca-cib.com and Be One of the talented professionals who contribute to excellence from our Singapore centre.