Junior Quant Trader – Agricultural Commodities

Interfood; Bladel; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation and benefits

40-hour work week

25 vacation days

Modern office facilities

International environment

Job summary

Interfood is seeking a Junior Quant Trader to join its EU Derivatives team. You will blend quantitative analysis, programming and market research to develop systematic trading and risk management strategies across agricultural commodity markets.

You will build and backtest models, pricing tools, and data-driven decision support, collaborating with traders and analysts to translate insights into trading actions. Strong Python, math skills and curiosity are essential.

Qualifications

• Residence in the Netherlands required.
• Master's degree in Quantitative Finance, Mathematics, Statistics, Econometrics, Engineering, Computer Science, Physics, or related field.
• Strong interest in commodity markets, quantitative finance and systematic trading.
• Experience with Python and data analysis libraries (Pandas, NumPy, SciPy) or similar.
• Familiarity with SQL and large datasets.
• Knowledge of statistics, probability, optimization, or machine learning techniques.
• Understanding of derivatives (futures, options, swaps) is a plus.
• Strong analytical thinking and problem-solving, attention to detail.
• Excellent communication and ability to explain quantitative concepts to non-technical colleagues.
• Excellent command of English.

Responsibilities

• 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 patterns.
• Build and backtest systematic trading strategies using historical and real-time 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 analytic tools.
• Collaborate with commercial teams to translate insights into trading decisions.
• Monitor model performance and continuously improve trading strategies.
• Research new data sources to enhance forecasting and trading performance.
• Contribute to Interfood's quantitative trading capabilities.

Skills

Python

Pandas

NumPy

SciPy

SQL

Statistics

Machine learning

Education

Master's in Quantitative Finance

Tools

Python environment

Job description

Your role

Interfood is looking for a Junior Quant Trader to join our EU 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

• You currently reside in the Netherlands (candidates located outside the Netherlands will not be considered for this vacancy).
• 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 25 vacation days.
• Continuous learning through technical, quantitative, and commercial development programs.
• Daily dairy breakfast and healthy lunch.
• Modern office facilities including an on-site gym.
• 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.