Quant Portfolio Researcher — Energy & Commodities

DS Smith; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

None

Job summary

DS Smith is seeking a Portfolio Research Analyst (Quantitative Research & Development) to join our Energy & Commodity Category team in Amsterdam. The role blends quantitative research with software engineering to deliver models, tools and insights for hedging decisions across DS Smith’s energy and commodity portfolio.

Reporting to the Head of Trading & Risk, you will analyze European markets, develop forecasting models, build scalable Python-based applications and contribute to data pipelines

Qualifications

• Degree in CS, Math, Physics, Engineering, Statistics or Quant Finance.
• Proven experience in quantitative research, development or data science.
• Strong Python skills with NumPy, pandas, SciPy and scikit-learn.
• Experience with econometrics, forecasting and time-series analysis.
• Solid software engineering habits: version control, testing, CI/CD.
• Experience designing data pipelines and SQL-based environments.
• Excellent problem-solving and communication abilities.

Responsibilities

• Conduct quantitative and fundamental analysis across European energy and commodity markets.
• Produce market outlooks, forecasts and insights for trading decisions.
• Design and develop forecasting models using econometric and ML techniques.
• Build backtesting, Monte Carlo simulations and robust analytics.
• Create production-grade Python applications and dashboards for the team.
• Collaborate with Procurement, Finance, IT and Data teams.
• Present findings to senior stakeholders and governance forums.

Skills

Python programming

NumPy

pandas

SciPy

scikit-learn

statsmodels

Time-series forecasting

Software engineering

Data pipelines

SQL

CI/CD

Rust

C++

Education

Computer Science

Mathematics

Quantitative Finance

Tools

SQL databases

Bloomberg/Refinitiv

Job description

DS Smith is seeking a Portfolio Research Analyst (Quantitative Research & Development) to join our Energy & Commodity Category team in Amsterdam. The role blends quantitative research with software engineering to deliver models, tools and insights for hedging decisions across DS Smith’s energy and commodity portfolio.

Reporting to the Head of Trading & Risk, you will analyze European markets, develop forecasting models, build scalable Python-based applications and contribute to data pipelines