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My client is a leading investment company and are currently growing their Amsterdam office with an experienced Deep Learning Engineer to help drive their next generation of AI driven trading strategies.
Responsibilities will include:
- Development, training and optimizing of deep learning models
- Analyzing large scale market data to uncover signals and trading opportunities
- Work closely with traders, data scientists and software engineers for integration into live systems
- Monitoring of performance, adapting to conditions and suggesting improvements
- Hold a understanding of the latest academic and industry research in DL and Quant finance
Successful candidates will have:
- 5+ years experience in Deep learning models using frameworks such as TensorFlow or PyTorch
- Masters degree in computer science, ML, Electrical Engineering, Maths or related field
- Previous experience with time series modelling, sequence prediction or reinforcement learning
- Strong skills in problem solving, debugging and analytic capabilities
- Work independently in a fast paced environment.
- Fluent English language skills
If you also have knowledge in a financial markets, trading or Quant research environment would be highly beneficial. As would be knowledge of microstructures, distributed training, model compression and deployment in low-latency environments.
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