Commodity Trading Analytics Internship Program

Engelhart’s Internship Program offers a unique opportunity to gain hands-on experience with North American Front Office teams working at the intersection of commodities markets, data, analytics, modelling and trading. Interns will contribute to practical, data-led projects that support commercial decision-making, forecasting, risk analysis and market insight across power, gas, and broader commodity markets. The internship opportunities covered by this advert are: Quantitative Development Intern, Houston; Quantitative Research Intern, Houston; NA Power & Gas Analytics Intern, Houston; FTR Analytics Intern, Houston; NA Structured Products & Origination Analytics Intern, Houston; West Power Analytics Intern, New York. Applicants may indicate areas of particular interest during the process.

Responsibilities

Work closely with a Houston or New York front office team on data-led projects within North American power and gas, FTR, structured products and origination, or West Power; Analyse large market, trading and fundamental datasets to identify insights that support forecasting, valuation, risk analysis and commercial decision-making; Develop, test or improve analytical tools, models, dashboards or workflows using Python and other relevant tools; Support forecasting, financial modelling, machine learning, statistical/econometric analysis, Monte Carlo simulation or quantitative optimisation activities, depending on desk requirements; Conduct market research and present findings clearly to technical and commercial stakeholders; Contribute to day-to-day desk activity, building practical understanding of how analytics supports trading and portfolio decisions

Requirements

Strong academic background in a quantitative discipline such as Computer Science, Data Science, Engineering, Physics, Mathematics, Statistics, Economics, Finance or a related STEM field; Strong Python skills, with the ability to analyze, manipulate and interpret complex data sets; Excellent analytical and problem-solving skills, with a structured and detail-oriented approach; Evidence of applying data analysis, coding or quantitative methods to a practical problem, gained through academic projects, internships, research, personal projects or other relevant experience; Demonstrable interest in commodities, power or financial markets, including an ability to discuss relevant market developments, gained through academic study, projects, internships, research or personal interest; Business-level English proficiency; Right to work in the United States for the full duration of the internship; Effective communication skills and a collaborative mindset, with the confidence to work closely with commercial and technical stakeholders; Intellectual curiosity, with the motivation to understand how market fundamentals, data and commercial decisions interact; Available to commence the six-month internship on site from June 15, 2027

Nice to have

Experience with SQL; relational databases; data visualisation; machine learning; AI/LLM tools; Git; financial modelling; advanced Excel/VBA; working with large market; Exposure to forecasting models; valuation; statistics/econometrics; time-series analysis; stochastic modelling; Monte Carlo simulation; optimisation; MILPs; portfolio construction

Benefits

Hands-on experience on a commodities trading desk, working on analytical projects with real commercial relevance; Exposure to how data, analytics, visualisation, forecasting, machine learning and modelling support trading and commercial decisions across North American power, gas and broader commodity 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