Commodities Quantitative Researcher – Extern

Jain Global; Houston (TX); On-site; USD 28,000 - 41,000; Part time

Job summary

Jain Global is seeking a Quantitative Research Extern to collaborate with our commodities investment teams. You will apply quantitative methods, fundamental analysis, and data-driven research to real-world trading problems, exploring datasets such as futures prices, weather data, and energy fundamentals.

You will work directly with portfolio managers and analysts, conducting independent research, developing hypotheses, and translating findings into reproducible code and actionable insights in a

Qualifications

• Currently enrolled in a bachelor's, master's, or PhD program in a quantitative discipline such as mathematics, statistics, computer science, engineering, physics, economics, or related field.
• Strong quantitative, analytical, and problem-solving skills.
• Solid foundation in probability, statistics, and statistical modeling.
• Experience with real-world datasets, noise, missing data, overfitting, and out-of-sample testing.
• Programming experience in Python; experience with C++ or R is valuable.
• Experience working with SQL, Python data tools, and/or Microsoft Excel.

Responsibilities

• Research, develop, and back test statistical arbitrage and relative-value strategies.
• Conduct fundamentally driven trade research in various commodities markets.
• Develop derivative pricing, volatility, and risk models.
• Research and implement machine learning approaches for forecasting and signal generation.
• Build time-series and predictive models for commodity prices and market fundamentals.
• Evaluate new datasets and engineer features for investment models.
• Develop analytics, visualization tools, and dashboards for research and trading.

Skills

Python

C++

R

SQL

Time-series

Statistics

Machine learning

Data analysis

Education

Bachelor's degree in quantitative discipline

Master's degree

PhD

Tools

SQL

Python data tools

Excel

Job description

Jain Global is seeking a Quantitative Research Extern to collaborate with our commodities investment teams. You will apply quantitative methods, fundamental analysis, and data-driven research to real-world trading problems, exploring datasets such as futures prices, weather data, and energy fundamentals.

You will work directly with portfolio managers and analysts, conducting independent research, developing hypotheses, and translating findings into reproducible code and actionable insights in a