Quant Developer (working student)

Startup, which is a pioneer in the field of news analysis for trading based on Artificial Intelligence/Machine Learning, is looking for a Quant Developer to support and expand market analysis as soon as possible.

The tasks to perform are:

• Help developing a backtesting engine

• Help developing a risk management engine

• Help in developing quantitative strategies

• Implement and test some rough volatility models (the generation of trajectories)

• Implement and test encoder-decoder within TDBP models to account for rough volatility models

• Test TDBP models with several output units for learning conditional expectations on path dependent events in a high-dimensional environment.

The skills required are:

• Good understanding of mathematical finance

• Good understanding of rough volatility models

• Good understanding of reinforcement learning

• Good understanding of machine learning (neural networks, recurrent neural networks, queueing networks)

• Very good knowledge of Python (Tensorflow and Pytorch)

• Opportunity to work on and learn cutting edge technologies

• Being part of a knowledgeable, high-achieving, experienced and fun team

• An international and diverse work atmosphere

• Opportunity to work remotely

We look forward hearing from you!