Python Trading Research Analyst
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Job Description
Research Analyst at Freedx analyzing trading data and building machine learning models in a remote role. Contributing to market-making research and financial insights for a cryptocurrency exchange.
Responsibilities:
- Analyze orderbook data: spreads, depth, liquidity layers.
- Study market microstructure (order flow, volatility patterns).
- Examine how markets behave across different volatility regimes.
- Research basis, funding, contango/backwardation, cross-exchange deviations.
- 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.
- Apply ML methods to orderbook features and short-horizon price prediction.
- Evaluate models for stability, latency impact, and overfitting risks.
- Test hypotheses and ideas from traders.
- Structure findings into models that can feed into production strategies.
- 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.
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.
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