Quantitative Researcher (Commodities)

Quantitative Researcher – CommoditiesResponsibilitiesDesign, test, and implement quantitative models to support trading strategies across Agricultural, Metals, and Oil markets.Research and identify alpha signals using econometrics, machine learning, and statistical modelling techniques.Analyse market microstructure and design execution algorithms to improve trade performance and reduce slippage.Work closely with portfolio managers and technologists to translate research ideas into live strategies.Contribute to data acquisition, cleaning, and feature engineering for backtesting and production environments.Required Skills and ExperienceAt least 5 years of quantitative research experience in financial markets, preferably within Agricultural, Metals, or Oil Commodities.Proven track record in developing and deploying systematic or model-driven trading strategies.Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering.Proficiency in Python or C++ for model development, data analysis, and backtesting.Strong analytical, problem-solving, and communication skills.Experience collaborating with trading or portfolio management teams in a hedge fund or proprietary trading environment is a plus.