Junior Quant Trader – Agricultural Commodities

Interfood; Bladel; On-site; EUR 55,000 - 75,000; Full time

Job summary

Interfood is seeking a Junior Quant Trader to join our EU Derivatives team. The role combines quantitative analysis, programming and market research to develop systematic trading and risk management strategies for agricultural commodities.

You will work with commercial traders and analysts to transform market data into actionable insights, develop forecasting models, and backtest strategies using Python and real-time data, contributing to Interfood's global trading capabilities.

Qualifications

• Master's degree in Quantitative Finance, Mathematics, Statistics, Econometrics, Engineering, Computer Science, Physics, or a related analytical field.
• Strong interest in commodity markets and systematic trading.
• Experience with Python and data analysis libraries (Pandas, NumPy, SciPy).
• Familiarity with SQL and large data sets.

Responsibilities

• Develop and improve quantitative models for agricultural markets and derivatives.
• Analyze large datasets to identify trading opportunities and patterns.
• Build and backtest systematic trading strategies using real-time data.
• Collaborate with traders to translate insights into trading decisions.
• Monitor model performance and refine strategies.

Skills

Python

Pandas

NumPy

SciPy

SQL

Statistics

Machine learning

Education

Master's degree in Quantitative Finance

Tools

SQL

Job description

Interfood is seeking a Junior Quant Trader to join our EU Derivatives team. The role combines quantitative analysis, programming and market research to develop systematic trading and risk management strategies for agricultural commodities.

You will work with commercial traders and analysts to transform market data into actionable insights, develop forecasting models, and backtest strategies using Python and real-time data, contributing to Interfood's global trading capabilities.