Base Metals Quant Analyst— Commodities Trading (Singapore)

Balyasny Asset Management(BAM) is hiring a Base Metals Quant Analyst to join our Commodities Tradingteam in Singapore. The role focuses on quantitative research, backtesting, anddata-driven analytics supporting base metals trading and risk decisions.

Responsibilities

• Build and run Python-based backtests for base metals strategies (signal design, transaction costs/slippage, contract rolls, out-of-sample testing).
• Develop and maintain Python data pipelines (data ingestion, cleaning, time-series alignment) for macro/micro commodities datasets (e.g., FX, rates, inventories, premia, curves/spreads).
• Apply statistical analysis (z-scores, percentiles, correlation/regression) to evaluate signals and market drivers.
• Produce documented, reproducible research outputs and performance/risk analytics (Sharpe, Sortino, drawdown, VaR).
• Identify and evaluate new datasets and document data quality and impact.

Qualifications

• Experience doing quantitative research and backtesting for trading or investment strategies.
• Experience doing Python-based time-series analysis and research development (e.g., pandas, numpy), including building reusable research code.
• Experience doing statistical analysis on market datasets, including z-scores/percentiles and regression/correlation.
• Experience doing commodities-related analysis in a trading house, commodity producer/utility, hedge fund/asset manager, bank trading desk, or equivalent.
• Experience with forward curves/term structure and spreads; SQL (or equivalent) for data retrieval.
• Experience with Machine learning in Python (e.g., scikit-learn, feature engineering, cross-validation) preferred.