Deep Learning Researcher

Key Skills

Git, NoSQL, NumPy, Python Programming, R Programming, SQL

Job Description

YOUR DAILY MISSIONS

Are you interested in model risk monitoring topics? So join us!

The Model Risk Management department ensures the quality and relevance of the models developed within the Group, as well as monitoring the bank's model risk. The team is, among other things, responsible for carrying out benchmarks in order to test the limits of the models of the audited entities. The objective of the mission is to study and document Deep Reinforcement Learning (DRL) models and their application cases in the banking and financial world.

Concretely, you will be required to:

• Make a state of the art of the scientific literature relating to Deep Reinforcement Learning, identify the different DRL libraries;
• Compare the pipelines of classic Machine Learning and Deep Learning models VS the pipelines of DRL models;
• Contribute to the improvement of DRL type model review protocols and black-box models in general;
• Establish thematic sheets which describe the operation and limits of DRL algorithms, document the study and lead interactive workshops to present progress to team members;
• Implement a practical case in finance using DRL algorithms.

AND IF IT WERE YOU ?

• You are a Bac + 4/5 level student in an Engineering, Business or University school, with a specialization in Computer Science.
• You have solid theoretical and operational knowledge in Machine Learning (eg deep learning). You have good knowledge of Python or R.
• With writing skills, you know how to write summary notes and present your results in PowerPoint or Web app format.
• You are autonomous, rigorous, curious, you are proactive.
• A strong team spirit, enthusiasm and good interpersonal skills will allow you to quickly integrate into the team.
• Note that knowledge of finance or Reinforcement Learning is not a prerequisite for this internship.
• You're fluent in English! You are our ideal candidate!

MORE THAN A POSITION, A SPRINGBOARD

As soon as you arrive, you will be integrated into our teams and will learn every day alongside our experts who will support you in your missions. Gradually, you will gain autonomy over your projects to make this experience a real career accelerator. You will also discover the full diversity of our professions, in a sector that is constantly evolving and innovating.

As an intern, you will be able to benefit from teleworking days (for any long-term internship and depending on the pace of your service), 50% coverage of your transport ticket and reduced ticket prices for our Works Council (concerts, cinema, sport, etc.). During your presence on site, you will have access to a varied offering of company restaurants and cafeterias at a very competitive price.

At the end of your studies or your LIFE, various opportunities may be available to you, in France and internationally.

WHY CHOOSE US ?

At Société Générale, we are convinced that people are the drivers of change, and that the world of tomorrow will be made up of all their initiatives, from the smallest to the most ambitious.

Whether you join us for a few months, a few years or your entire career, together we have the means to have a positive impact on the future.

Creating, daring, innovating, undertaking are part of our DNA. If you also want to be in action, evolve in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, we are made to meet!

Are you still hesitant?

Please note that our employees can commit a few days a year to solidarity actions during their working time: sponsoring people experiencing difficulty in their career path or professional integration, participating in the financial education of young people in apprenticeships or even sharing their skills with an association. There are multiple engagement formats.