Python Trading Research Analyst

Job Description

REQUIREMENTS

• Strong proficiency in Python, specifically with 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.

Nice to Have

• 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.

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.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#CrossChannelJobs #JobSearch
#CareerOpportunities #HiringNow
#Employment #JobOpenings
#JobSeekers
#FacebookLinkedIn