About Blu Analytics

Blu Analytics is a systematic event trading fund that uses NLP to anticipate large market moves based on newsand generate investment signals. Further, it uses Deep Reinforcement Learning to infer true market behaviour,
predict patterns, devise quantitative strategies, and optimise portfolio allocation.

These results are then applied to dynamically maximise Risk/Return for private investors and retail market.

 Academic background: MSc/PhD/Master/Engineer

The aim of the project is to develop and improve the Temporal Difference Back Propagation (TDBP) models, a particular type of Reinforcement Learning models, to compute conditional expectations.

✔️ Good understanding of machine learning (deep neural, recurrent, queueing networks)
✔️ Good understanding of reinforcement learning
✔️ Very good knowledge of Python (Tensorflow and Pytorch)

Contact: Daniel Bloch, Head of Quant Strategies

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