The company, which develops and implements trading strategies in cryptocurrency and classical markets, is looking for specialists who can apply ML / quantitative research to find market patterns, generate signals, and build profitable strategies.
Responsibilities
- Development of ML / quantitative models for forecasting and signal generation;
- Analysis of time series and market data in real-time;
- Hypothesis testing and improvement of existing strategies;
- Work with research / backtesting infrastructure;
- For senior positions - participation in the formation of new directions and strategies.
Requirements
- Excellent knowledge of Python and the ML stack (NumPy, numba, PyTorch / JAX, scikit-learn);
- Strong mathematical / statistical background;
- Experience with time-series / market data;
- Experience in building, testing, and validating hypotheses / signals / models;
- Understanding of trading principles, market analysis, and market data;
- Experience in research-driven development / data analysis / quantitative research.
Conditions
- Fully remote work from anywhere in the world;
- Opportunity to immerse yourself in the world of HFT.