Venture Search are looking for a talented Deep Learning Engineer to join our client's 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.
- 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.