We are seeking a highly skilled Data Scientist to join our Quantitative Research team. You will work directly with quants,
engineers, and traders to uncover predictive patterns in vast, complex datasets. Your insights will directly influence
trading strategies.
Data Scientist
tydal
- posted:
About the company:
tydal is a proprietary algorithmic trading r&d disruptor that utilizes machine learning, risk analysis, and advanced
statistical models to develop state-of-the-art, fully automated, and robust trading systems that outperform the digital
asset market. Our team of industry experts analyzes massive datasets using AI, complex algorithms, and a deep
understanding of the digital asset market to identify statistically significant behavior-based indicators that power our
adaptive algorithm
Job description:
Required qualifications:
Minimum qualifications:
– At the very least a Master’s degree in a relevant field (e.g., Computer Science, Engineering, Mathematics, Physics,
Biology etc’.) is required.
– 4+ years of experience in a data science, machine learning, or quantitative research role, preferably within finance
– Strong proficiency in Python (numpy, pandas, scikit-learn, TensorFlow/PyTorch) or similar
– Solid understanding of statistical modeling, probability theory, and machine learning algorithms.
– Experience working with time-series data.
Preferred qualifications:
– Phd
– Experience in algorithmic trading, prop-trading, hedge funds, or other related asset management environments
– Knowledge of alternative data sources and techniques for financial forecasting
– Background in signal processing, analysis, decision making modeling and alpha generation.
Job location
Tel Aviv