Junior Quant Trader – Agricultural Commodities & Analytics

Interfood; Netherlands; Remote; EUR 52,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation

On-site gym

Internationally oriented environment

Job summary

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

Collaboration with traders and analysts will transform data into actionable insights and robust models. The role emphasizes developing models, backtesting trading strategies, and supporting pricing and risk analytics, using Python and industry-standard libraries.

Qualifications

• Master's degree in a quantitative field is required.
• Strong analytical mindset and attention to detail.
• Excellent command of English.
• Experience with Python and data libraries (Pandas, NumX, SciPy).
• Familiarity with SQL and handling large datasets.
• Knowledge of statistics, probability, optimization, or ML techniques.

Responsibilities

• Develop and backtest quantitative models for agricultural commodity markets.
• Analyze large market datasets to identify trading opportunities and patterns.
• Build and backtest systematic trading strategies using historical and real-time data.
• Provide quantitative analysis, pricing models and risk analytics to traders.
• Develop forecasting models for prices, volatility and fundamentals.
• Automate market analysis, reporting, and trade monitoring with Python.
• Collaborate with commercial teams to translate insights into trading decisions.
• Monitor model performance and continuously improve strategies.
• Research new data sources to enhance forecasting and trading performance.
• Contribute to Interfood’s quantitative trading capabilities.

Skills

Python

Pandas

NumPy

SQL

SciPy

Statistics

Machine learning

Quantitative finance

Derivatives knowledge

Data analysis

Communication

English fluency

Education

Master's degree in Quantitative Finance, Mathematics, Statistics, Econometrics, Engineering, Computer Science, Physics

Tools

NumX

SciPy

Job description

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

Collaboration with traders and analysts will transform data into actionable insights and robust models. The role emphasizes developing models, backtesting trading strategies, and supporting pricing and risk analytics, using Python and industry-standard libraries.