Junior Quant Trader – Agricultural Commodities

Junior Quant Trader – Agricultural Commodities

Your role

Interfood is looking for a Junior Quant Trader to join our APAC Derivatives team. In this role you will combine quantitative analysis, programming and market research to develop systematic trading and risk management strategies across agricultural commodity markets. You will work closely with commercial traders, derivatives traders and analysts to transform market data into actionable trading insights.

This position offers an excellent opportunity for someone with a strong analytical mindset who enjoys working at the intersection of financial markets, commodities, and technology. You will contribute to the development of quantitative models, trading algorithms, pricing tools, and data-driven decision support for both proprietary trading and commercial risk management.

As our new Junior Quant Trader you:

• Develop and improve quantitative models for agricultural commodity markets, including futures, options, spreads and OTC products.
• Analyze large market datasets to identify trading opportunities and market patterns.
• Build and backtest systematic trading strategies using historical and real-time market data.
• Support derivatives and physical traders with quantitative analysis, pricing models and risk analytics.
• Develop forecasting models for prices, volatility and market fundamentals.
• Automate market analysis, reporting and trade monitoring using Python and analytical tools.
• Collaborate with commercial teams to translate quantitative insights into trading decisions.
• Monitor model performance and continuously improve trading strategies.
• Research new data sources to enhance forecasting and trading performance.
• Contribute to the development of Interfood's quantitative trading capabilities.

Your profile

• Master's degree in Quantitative Finance, Mathematics, Statistics, Econometrics, Engineering, Computer Science, Physics, or a related analytical field.
• Strong interest in commodity markets, quantitative finance, and systematic trading.
• Experience with Python and data analysis libraries such as Pandas, NumPy, SciPy, or similar.
• Familiarity with SQL and experience working with large datasets.
• Knowledge of statistics, probability, optimization, or machine learning techniques.
• Understanding of derivatives (futures, options, swaps) is an advantage.
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Curious, self-driven, and motivated to continuously improve quantitative models and trading performance.
• Excellent communication skills and ability to explain quantitative concepts to commercial colleagues.
• Excellent command of English.

Our offer

• Competitive compensation and benefits, based on experience and education.
• The opportunity to develop into a Quant Trader or Commodity Derivatives Trader within a global organization.
• Exposure to international agricultural commodity markets and sophisticated trading strategies.
• 40-hour work week and 20 vacation days.
• Continuous learning through technical, quantitative, and commercial development programs.
• An entrepreneurial, collaborative, and internationally oriented working environment.

About Interfood

Interfood is a leading global dairy trading company with 14 offices worldwide and more than 380 employees. As we continue expanding our quantitative capabilities, we invest in data-driven decision making, advanced risk management and systematic trading. Our culture is built on teamwork, commitment, continuous improvement, professionalism and responsible leadership.

Together for better.