Quant Portfolio Research & Development Analyst

DS Smith; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

DS Smith is seeking a Portfolio Research Analyst (Quantitative Research & Development) to join the Energy & Commodity Category team. You will blend advanced market research, statistical modelling and software engineering to build analytical platforms, models and tools for hedging decisions across a European portfolio.

The role features roughly 50% quantitative research and modelling and 50% software engineering and application development, with an emphasis on scalable Python code and

Qualifications

• Degree in Computer Science, Mathematics, Physics, Engineering, Statistics, Quantitative Finance or similar.
• Proven experience in quantitative research, quantitative development, data science, trading systems or similar role.
• Strong Python programming skills and libraries for scientific data analysis.

Responsibilities

• Conduct quantitative and fundamental analysis across European power, natural gas, carbon and agricultural commodity markets.
• Produce market outlooks, forecasts and research insights to support trading and hedging decisions.
• Design and develop quantitative forecasting models using econometric, statistical and machine learning techniques.
• Build scenario analysis, stochastic modelling and Monte Carlo simulation capabilities.
• Develop robust backtesting frameworks and validate model performance.
• Create and maintain production-quality applications, analytical tools and dashboards used across the Trading & Risk team.
• Write clean, scalable and maintainable Python code; develop high-performance components using Rust or C++.
• Build automated data pipelines integrating market, weather, consumption and financial data.
• Drive data governance and reproducibility in analytics workflows.

Skills

Python

NumPy

pandas

SciPy

scikit-learn

statistics

time-series analysis

software engineering

SQL

Rust/C++

data pipelines

Education

Degree in Computer Science or Mathematics or Physics or Engineering or Quantitative Finance

Tools

Git

CI/CD

Bloomberg/Refinitiv/ICIS (market data)

Job description

DS Smith is seeking a Portfolio Research Analyst (Quantitative Research & Development) to join the Energy & Commodity Category team. You will blend advanced market research, statistical modelling and software engineering to build analytical platforms, models and tools for hedging decisions across a European portfolio.

The role features roughly 50% quantitative research and modelling and 50% software engineering and application development, with an emphasis on scalable Python code and