Intern / Fellow - Risk Management - [Convention de stage]

You will work on technical projects to support the development of CFM's Risk management activity in Europe and globally. You will contribute to the python work at the CFM's risk department working with colleagues across the Risk and Research team. The role requires a sound understanding of python programming and statistical concepts. You must have the ability to manipulate data, perform advanced analytics, and build production quality tools. We expect you to demonstrate a significant autonomy and an organized approach to carry out the projects entrusted to you.

• You have a PhD degree or advanced Master's degree in a quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Computational Science, Quantitative Finance, Physics) or working towards a PhD degree.


• You are proficient in Python, data analysis/visualization library and have experience in Machine learning/deep learning projects.


• You are well organized, detail oriented and keep track of various deadlines.


• You are fluent in written and spoken in English.


• French fluency is a plus not a necessity.
  
  Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.


We value innovation, dedication, collaboration and the ability to make an impact and together we create an environment for talented and passionate experts in research, technology and business to explore new ideas and challenge assumptions.