Commodity Trading Analytics Internship Program

engelhart · Londonjunior

In short

▸Trabaja en un equipo de trading de materias primas en Londres, analizando datos y construyendo modelos.
▸Proyectos reales con impacto comercial: forecasting, modelos predictivos y herramientas en Python.
▸Acceso directo a líderes del negocio y mentoría de expertos en trading y análisis.

Fluent English required

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What they ask for

✓Permiso de trabajo en el Reino Unido
✓Disponibilidad para trabajar en Londres de forma presencial
✓Inglés fluido (hablado y escrito)
✓Conocimientos básicos de Python
✓Interés en mercados de materias primas o energía
✓Capacidad para trabajar en equipo y adaptarse a entornos dinámicos

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PythonSQLExcelPower BITableauRMachine LearningTime Series AnalysisData VisualizationFinancial Modeling

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About Us Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship . Commodity Trading Analytics Internship Program Six-Month Internship: 15 June – 16 December 2027 London (full-time, on site) Engelhart’s Internship Program offers a unique opportunity to gain hands-on experience with London-based front office teams working at the intersection of commodities markets, data, analytics and trading. Interns will contribute to practical, data-led projects that support commercial decision-making, forecasting and market analysis across macro commodities, power and related markets. To be eligible for consideration, applicants must have the right to work in the UK and be available to commence their six-month internship on site from 15 June 2027 . The internship opportunities covered by this advert are as follows: • Macro Commodities Analytics Intern, London • Structured UK Power Analytics Intern, London • Systematic Quantatitive Development Intern, London Applicants may indicate areas of particular interest during the process, but final role allocation will be based on business need, candidate profile and overall fit. The London opportunities are expected to include a quantitative developer profile for Macro Commodities and Systematic Trading, and a broad market analytics profile for the Structured UK Power Desk. What You Can Expect • Hands-on experience on a commodities trading desk, working on analytical projects with real commercial relevance. • Exposure to how data, analytics, forecasting and modelling support trading and commercial decisions across broader macro commodities or specifically UK power markets. • Close learning and mentorship from experienced front office professionals, including direct exposure to desk leadership. • A structured six-month internship within a global commodities business, combining cohort-based learning with deep desk integration. Example Project Areas Depending on the internship opportunity, projects may include analysing market and alternative datasets, refining forecasts, developing Python-based models or tools, applying machine learning techniques, supporting financial modelling, building predictive models or optimisation workflows for systematic trading, and producing insights that help inform front office trading and commercial decisions. Key Responsibilities • Work closely with a front

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