Machine Learning Researcher

Responsibilities

• Analyze complex time-series data, orderbook dynamics, and trade data to engineer high-signal features
• Design and train deep-learning models (MLP, LSTM, RNN, Transformers, RL agents) tailored for financial trading environments
• Conduct comprehensive backtesting and simulation across asset classes and exchanges; analyze trade execution and PnL attribution
• Collaborate with engineering teams to optimize and deploy models into production
• Build and maintain automated pipelines for data ingestion, model retraining, and continuous performance monitoring

Requirements

• Strong foundation in machine learning, quantitative research, or a related STEM field
• Deep understanding of neural network architectures and their application to time-series forecasting
• Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX); C++ preferred
• Solid command of probability theory, linear algebra, and applied statistics
• Strong communication skills and ability to articulate technical concepts clearly
• High level of drive, curiosity, and passion for continuously learning in a fast-paced environment