I contact you on behalf of École Polytechnique and BNP Paribas to announce to you the Generative Modelling GenHack Data Science Challenge
The GenHack challengeis an exciting opportunity for your students to improve and apply their skills in a challenging, international environment on a real-world industrial problem.
The task
This is an unsupervised learning problem: Given real data from stock market indexes that will act as a train dataset, the task is to develop a generative model that simulates synthetic stock market indexes.
🗓 When?
The competition will begin the 25th of October and will end the 22nd of November.
🤖 How?
- Kick-off presentation on the 15th of October with the different stakeholders from BNP Paribas and Ecole Polytechnique.
- Teams of 3-5 students (ideally from different universities and different countries).
- Mentoring from academic experts and senior Data Scientists from BNP Paribas
.
🏆 The Prize?
- Present in front of the jury of École Polytechnique and BNP Paribas
- Monetary prizes, unveiled at a later date
- Discover BNP Paribas’s “métiers” during an exclusive event
💎 The Sponsors?
- École Polytechnique, with the chaire ‘Stress Test: RISK Management and Financial Steering’ led by Professor Emmanuel Gobet.
- BNP Paribas, with Léa Deleris, Head of RISK Artificial Intelligence Research, and Antoine Bezat, Head of Stress Testing Methodologies and Models
Is this something that you think your students could be interested in?
If so, please download from here the competition poster that you can share by email or hang on the wall of your Master’s classrooms.
Here is the platform where the students can sign up: competitions.outcoder.ai/competitions/genm
Enrollment deadline is the 15 October 2021 at midnight Paris time (GMT+2). Teams can be created after enrolling.
Please tell us if this is something you think your students will be interested in and if you have any questions.
Kind regards,
On behalf of the organizing committee
Luca Zanna, Outcoder.ai