Quantitative Researcher

Quantitative Researcher – Commodities |

We’re looking for an experienced Quantitative Researcher to join a front-office Commodities team, developing quantitative models and analytical frameworks that support physical commodity transport, storage, logistics, risk, and investment decisions.

What you’ll do

• Develop quantitative models and analytical frameworks for commodities and physical markets
• Build tools for forecasting, scenario analysis, optimization, simulation, and valuation
• Translate market structure, infrastructure constraints, and operational realities into rigorous quantitative models
• Partner directly with investors and traders to identify market opportunities and develop trade ideas
• Contribute to research architecture, analytics platforms, risk tools, and pricing systems

What we’re looking for

• BSc, MSc, or PhD in mathematics, physics, computer science, engineering, statistics, economics, operations research, or another quantitative discipline
• 5+ years of experience in quantitative research, commodities, logistics, or applied modelling
• Strong C++ skills, ideally with experience developing high-performance analytical libraries
• Strong foundations in probability, statistics, linear algebra, optimization, and numerical methods
• Experience with time-series analysis, forecasting, simulation, stochastic modelling, network/flow models, or constrained optimization
• Experience integrating quantitative models into front-office risk, pricing, or trading platforms

Commodities experience

Experience in physical commodity markets is highly valued, particularly across energy, inventory and storage economics, freight and transportation, pipelines, terminals, vessels, rail, trucking, and infrastructure constraints.

Experience with oil, gas, power, refined products, metals, or agricultural commodities is a plus.