Python Trading Research Analyst

2. Statistical Modelling

• Build basic statistical models to detect regime shifts and volatility clusters.
• Explore relationships between features and realized PnL.
• Develop simple metrics to evaluate market quality and liquidity.

3. Machine Learning Research

• Apply ML methods to orderbook features and short-horizon price prediction.
• Evaluate models for stability, latency impact, and overfitting risks.

4. Algorithm Analysis

• Test hypotheses and ideas from traders.
• Structure your findings into models that can feed into production strategies.

5. Backtesting & Simulation

• Build lightweight simulation environments for MM and directional strategies.
• Test strategy variations under different market assumptions.
• Model hedging effectiveness across exchanges/instruments.
• Run scenario-based stress tests (vol spikes, price dislocations, liquidity dry-ups).

Requirements

• Strong proficiency in Python, especially pandas, numpy, scipy, sklearn, statsmodels.
• Understanding of machine learning techniques for time series or microstructure-style data.
• Solid foundation in statistics: distributions, variance, regressions, probability.
• Experience building models for prediction, classification, or clustering (projects, coursework, or work experience).

Nice to Have

• Experience with deep learning for timeseries (PyTorch or TensorFlow).
• Knowledge of PostgreSQL/TimescaleDB for large dataset queries.
• Experience analyzing tick-level or Level 2 data from Binance/KuCoin/Bybit/etc.
• Exposure to crypto markets or market-making concepts.

Who You Are

• You love solving analytical problems.
• You enjoy exploring datasets and finding patterns.
• You learn quickly and take ownership of your work.
• You're excited to grow into trading research and quantitative modelling.

Benefits

• Remote-first flexibility.
• Flexible payment options - choose to be paid in traditional currency (USD) or cryptocurrency (USDT / USDC).
• Exposure to real trading strategies and decision-making.
• Continuous mentorship from experienced quants and traders.
• Work on high-impact, low-latency trading infrastructure used across global crypto markets.
• Opportunity to grow as we scale rapidly across markets and product lines.