Junior Quant Trader: Agricultural Derivatives & Data

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

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.