Commodity Trading Analytics Internship Program
About The Position
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. To be eligible for consideration, applicants must have the right to work in the United States for the full duration of the internship and be available to commence their six-month internship on site from June 15, 2027. The internship opportunities covered by this advert are as follows: 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. All roles require strong analytical and technical skills, with opportunities spanning data analysis and visualisation, machine learning, forecasting, financial modelling, statistics/econometrics and quantitative modelling. Final allocation will take into account business need, candidate profile and overall fit. Please note: annualized salary will depend on location, role requirements and the candidate’s overall profile, including educational background, relevant skills and experience. Final compensation will be determined as part of the offer process, and the upper end of the advertised range is expected to apply only in limited cases.
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.
Nice To Haves
- Experience with SQL, relational databases, data visualisation, machine learning, AI/LLM tools, Git, financial modelling, advanced Excel/VBA, or working with large market
- Exposure to forecasting models, valuation, statistics/econometrics, time-series analysis, stochastic modelling, Monte Carlo simulation, optimisation, MILPs or portfolio construction.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
