Deep Learning Engineer

Our client is looking for a talented Deep Learning Engineer to join our research and development team and help drive the next generation of AI-driven trading strategies.

Location: Amsterdam / Tel Aviv

Job Description

• Develop, train and optimize deep learning models for financial market prediction, trade execution, and decision making.
• Analyze large-scale market data (tick-level, order book, alternative data) to uncover alpha signals and trading opportunities.
• Collaborate with traders, data scientists, and software engineers to integrate models into live trading systems.
• Continuously monitor model performance, adapt to market conditions, and propose enhancements.
• Maintain a strong understanding of the latest academic and industry research in deep learning and quantitative finance.

The Right Candidate

• Master's or PH.D in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or related field.
• Solid experience building, training and deploying deep learning models using frameworks like PyTorch or TensorFlow.
• Experience with time-series modeling, sequence prediction, or reinforcement learning.
• Strong analytical, problem-solving, and debugging skills.
• Ability to work independently in a fast-paced environment.

Bonus

• Prior experience in financial markets, algorithmic trading, or quantitative research.
• Knowledge of microstructure data (e.g. order book dynamics, latency-sensitive environments).
• Experience with distributed training, model compression, and deployment in low-latency environments.
• Familiarity with alternative data sources and feature engineering in a financial context.