Quantitative Portfolio Research & Development Engineer

DS Smith; Badhoevedorp; On-site; EUR 90,000 - 140,000; Full time

Job summary

DS Smith is seeking a Portfolio Research Analyst (Quantitative Research & Development) to join our Energy & Commodity Category team. You will combine market research, statistical modelling and software engineering to support hedging decisions and build production-ready tools.

Reporting to the Head of Trading & Risk, you will analyse European markets, develop quantitative models and deploy scalable Python-based analytics, with optional Rust/C++ components, to deliver actionable insights and

Qualifications

• Degree in a highly quantitative discipline.
• Proven experience in quantitative research, quantitative development, data science, trading systems or related field.
• Strong Python programming skills and experience with scientific and data analysis libraries (NumPy, pandas, SciPy, scikit-learn, stats models).
• Experience applying statistical, econometric or machine learning techniques to forecasting and time-series analysis.
• Solid software engineering fundamentals: version control, testing, code review and CI/CD.
• Experience designing and maintaining data pipelines and SQL-based data environments.
• Excellent problem-solving and analytical skills.
• Strong written and verbal communication, ability to present to technical and non-technical audiences.
• Collaborative mindset and cross-functional teamwork.

Responsibilities

• Conduct quantitative and fundamental analysis across European energy and commodity markets.
• Produce market outlooks, forecasts and insights to support trading and hedging decisions.
• Design and develop quantitative forecasting models using econometric, statistical and ML techniques.
• Build scenario analysis, stochastic modelling and Monte Carlo simulation capabilities.
• Develop backtesting frameworks and validate model performance.
• Create and maintain production-quality applications, analytics tools and dashboards.
• Write clean, scalable Python code and, where needed, high-performance components in Rust or C++.
• Build automated data pipelines integrating market, weather, consumption and financial data.
• Collaborate with Procurement, Treasury, Finance, IT and Data teams to drive automation and improve analytics.

Skills

Python programming

NumPy

pandas

SciPy

scikit-learn

stats models

Quantitative research

Data analysis

Time-series analysis

Software engineering

SQL

Education

Bachelor's or Master's in Computer Science, Mathematics, Physics, Engineering, Statistics, Quantitative Finance, Economics or similar

Tools

Rust

C++

Job description

DS Smith is seeking a Portfolio Research Analyst (Quantitative Research & Development) to join our Energy & Commodity Category team. You will combine market research, statistical modelling and software engineering to support hedging decisions and build production-ready tools.

Reporting to the Head of Trading & Risk, you will analyse European markets, develop quantitative models and deploy scalable Python-based analytics, with optional Rust/C++ components, to deliver actionable insights and