Python Trading Research Analyst

Responsibilities - Analyze orderbook data, including spreads, depth, and liquidity layers. - Study market microstructure, volatility patterns, and volatility regimes. - Research basis, funding, and cross-exchange deviations. - Build statistical models to detect regime shifts and volatility clusters. - Apply machine learning methods to orderbook features and short-horizon price prediction. - Test hypotheses and structure findings into models for production strategies. - Develop simulation environments for backtesting market-making and directional strategies. - Perform scenario-based stress tests including volatility spikes and liquidity dry-ups. ## Requirements - Strong proficiency in Python, specifically pandas, numpy, scipy, sklearn, and statsmodels. - Understanding of machine learning techniques for time series or microstructure data. - Solid foundation in statistics, including distributions, variance, regressions, and probability. - Experience building models for prediction, classification, or clustering. ## Preferred Qualifications - Deep learning experience for time series using PyTorch or TensorFlow. - Knowledge of PostgreSQL or TimescaleDB for large dataset queries. - Experience analyzing tick-level or Level 2 data from major crypto exchanges. - Exposure to cryptocurrency markets or market-making concepts. ## Benefits - Remote-first flexibility. - Flexible payment options in traditional currency (USD) or cryptocurrency (USDT/USDC). - Continuous mentorship from experienced quants and traders. - Opportunity to work on high-impact, low-latency trading infrastructure. ## About the Company Freedx is a cryptocurrency exchange built by professionals from the crypto, finance, and technology sectors. The company focuses on delivering a secure, transparent, and scalable trading experience for digital assets.